{"id":492515,"date":"2018-06-28T11:26:02","date_gmt":"2018-06-28T18:26:02","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=492515"},"modified":"2025-08-06T11:57:04","modified_gmt":"2025-08-06T18:57:04","slug":"icml-2018","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/icml-2018\/","title":{"rendered":"Microsoft @ ICML 2018"},"content":{"rendered":"\n\n

Venue:<\/strong> Stockholmsm\u00e4ssan (opens in new tab)<\/span><\/a>
\nM\u00e4ssv\u00e4gen 1 \u00c4lvsj\u00f6
\nSweden<\/p>\n

Website:<\/strong> ICML 2018 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is proud to be a Platinum sponsor of the Thirty-fifth International Conference on Machine Learning (opens in new tab)<\/span><\/a> (ICML) July 10, 2018 \u2013 July 15, 2018 in Stockholm, Sweden. With twenty-six accepted papers, a tutorial and two workshops, we will have over 40 representatives from Microsoft in attendance. Come by our booth to chat with our experts, see demos of our latest research and find out about career opportunities with Microsoft.<\/p>\n

Committee Chairs<\/h2>\n

ICML President Elect<\/h3>\n

John Langford<\/a><\/p>\n

Microsoft Attendees<\/h2>\n

Alekh Agarwal<\/a>
\nAlessandro Sordoni<\/a>
\nAlex Slivkins<\/a>
\nAmeera Patel
\nAustin Gross
\nBailu Ding<\/a>
\nBrandon Smock
\nCheng Zhang
\nChristopher Bishop<\/a>
\nDanielle Belgrave<\/a>
\nGreg Yang<\/a>
\nHarm van Seijen<\/a>
\nHuishuai Zhang
\nJennifer Marsman
\nJustin Bronder
\nKatja Hofmann<\/a>
\nKonstantina Palla
\nLin Xiao<\/a>
\nMarc Trembley
\nMehdi Fatemi<\/a>
\nMiroslav Dudik<\/a>
\nNatalia An
\nNikos Karampatziakis<\/a>
\nOfer Dekel<\/a>
\nOlga Liakhovich
\nOlivia Klose
\nPaul Mineiro
\nPhilip Bachman<\/a>
\nPraneeth Netrapalli<\/a>
\nPrateek Jain<\/a>
\nRicky Loynd<\/a>
\nRoland Fernandez<\/a>
\nRyota Tomioka<\/a>
\nSam Devlin<\/a>
\nShauheen Zahirazami
\nStuart Schaefer
\nSusan Dumais<\/a>
\nTingting Zhao
\nTsendsuren Munkhdalai<\/a>
\nXingdi Yuan<\/a>
\nYale Song<\/a><\/p>\n

Opens in a new tab<\/span><\/p>\n

Semi-supervised learning via compact latent space clustering<\/a>
\nWednesday, July 11, 2018 | 1:50 PM\u20132:10\u00a0PM | Victoria<\/h3>\n

Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi<\/strong><\/a>, Aditya Nori<\/strong><\/a><\/p>\n

Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization<\/a>
\nWednesday, July 11, 2018 | 2:10 PM\u20132:20\u00a0PM | A9<\/h3>\n

Zeyuan Allen-Zhu<\/strong><\/a><\/p>\n

Learning Deep ResNet Blocks Sequentially using Boosting Theory
\nWednesday, July 11, 2018 | 5:40 PM\u20135:50\u00a0PM | K1 + K2<\/h3>\n

Furong Huang, Jordan Ash, John Langford<\/strong><\/a>, Robert Schapire<\/strong><\/a><\/p>\n

Model-Level Dual Learning
\nWednesday, July 11, 2018 | 3:20 PM\u20133:30\u00a0PM | Victoria<\/h3>\n

Yingce Xia, Xu Tan<\/strong><\/a>, Fei Tian<\/strong><\/a>, Tao Qin<\/strong><\/a>, Tie-Yan Liu<\/strong><\/p>\n

Differentially Private Matrix Completion, Revisited
\nWednesday, July 11, 2018 | 4:00 PM\u20134:20\u00a0PM | A6<\/h3>\n

Prateek Jain<\/strong><\/a>, Om Dipakbhai Thakkar, Abhradeep Thakurta<\/p>\n

Which Training Methods for GANs do actually Converge?
\nWednesday, July 11, 2018 | 4:00 PM\u20134:20\u00a0PM | A7<\/h3>\n

Lars Mescheder, Andreas Geiger, Sebastian Nowozin<\/strong><\/a><\/p>\n

Fair and Diverse DPP-based Data Summarization
\nWednesday, July 11, 2018 | 5:50 PM\u20136:00\u00a0PM | A6<\/h3>\n

Elisa Celis, Vijay Keswani, Damian Straszak, Amit Jayant Deshpande<\/strong><\/a>, Tarun Kathuria, Nisheeth Vishnoi<\/p>\n

Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
\nThursday, July 12, 2018 | 11:00 AM\u201311:20 AM | A9<\/h3>\n

Zhihao Jia, Sina Lin, <\/strong>Charles Qi, Alex Aiken<\/p>\n

Compressing Neural Networks using the Variational Information Bottleneck
\nThursday, July 12, 2018 | 11:20 AM\u201311:40\u00a0AM | Victoria<\/h3>\n

Bin Dai, Chen Zhu, Baining Guo<\/strong><\/a>, David Wipf<\/strong><\/a><\/p>\n

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation<\/a>
\nThursday, July 12, 2018 | 11:20 AM\u201311:40 AM | A1<\/h3>\n

Bo Dai, Albert Shaw, Lihong Li, Lin Xiao<\/strong><\/a>, Niao He, Zhen Liu, Jianshu Chen<\/strong>, Le Song<\/p>\n

Focused Hierarchical RNNs for Conditional Sequence Processing
\nThursday, July 12, 2018 | 1:30 PM\u20131:50 PM | Victoria<\/h3>\n

Nan Ke, Konrad Zolna, Alessandro Sordoni<\/strong><\/a>, Zhouhan Lin Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal<\/p>\n

Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits
\nThursday, July 12, 2018 | 3:10 PM\u20133:20\u00a0PM | A5<\/h3>\n

Zeyuan Allen-Zhu<\/strong><\/a>, Sebastien Bubeck<\/strong><\/a>, Yuanzhi Li<\/p>\n

Thompson Sampling for Combinatorial Semi-Bandits<\/a>
\nThursday, July 12, 2018 | 3:20 PM\u20133:30\u00a0PM | A5<\/h3>\n

Siwei Wang, Wei Chen<\/strong><\/p>\n

Practical Contextual Bandits with Regression Oracles<\/a>
\nThursday, July 12, 2018 | 4:20 PM\u20134:40\u00a0PM | A5<\/h3>\n

Dylan Foster, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Haipeng Luo, Robert Schapire<\/strong><\/a><\/p>\n

Towards Binary-Valued Gates for Robust LSTM Training
\nThursday, July 12, 2018 | 4:50 PM\u20135:00\u00a0PM | A3<\/h3>\n

Zhuohan Li, Di He, Fei Tian<\/strong><\/a>, Wei Chen<\/strong><\/a>, Tao Qin<\/strong><\/a>, Liwei Wang, Tie-Yan Liu<\/strong><\/a><\/p>\n

Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis
\nThursday, July 12, 2018 | 5:30 PM\u20135:40\u00a0PM | A9<\/h3>\n

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra<\/strong><\/p>\n

A Reductions Approach to Fair Classification<\/a>
\nFriday, July 13, 2018 | 9:30 AM\u20139:50\u00a0AM | A6<\/h3>\n

Alekh Agarwal<\/strong><\/a>, Alina Beygelzimer, Miroslav Dudik<\/strong>, John Langford<\/strong><\/a>, Hanna Wallach<\/strong><\/a><\/p>\n

Video Prediction with Appearance and Motion Conditions
\nFriday, July 13, 2018 | 10:00 AM\u201310:10 AM | K1<\/h3>\n

Yunseok Jang, Gunhee Kim, Yale Song<\/strong><\/a><\/p>\n

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
\nFriday, July 13, 2018 | 10:20 AM\u201310:30 AM | A7<\/h3>\n

Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni<\/strong><\/a>, Philip Bachman<\/strong><\/a>, Aaron Courville<\/p>\n

Hierarchical Imitation and Reinforcement Learning<\/a>
\nFriday, July 13, 2018 |\u00a011:00 AM\u201311:20 AM | A1<\/h3>\n

Hoang M Le, Nan Jiang<\/strong><\/a>, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Yisong Yue, Hal Daume<\/strong><\/a><\/p>\n

Semiparametric Contextual Bandits<\/a>
\nFriday, July 13, 2018 | 11:20 AM\u201311:40 AM | A5<\/h3>\n

Akshay Krishnamurthy, Zhiwei Wu, Vasilis Syrgkanis<\/strong><\/a><\/p>\n

Rapid Adaptation with Conditionally Shifted Neurons<\/a>
\nFriday, July 13, 2018 | 4:40 PM\u20134:50 PM| Victoria<\/h3>\n

Tsendsuren Munkhdalai<\/strong><\/a>, Xingdi Yuan<\/strong><\/a>, Soroush Mehri<\/strong><\/a>, Adam Trischler<\/strong><\/a><\/p>\n

Orthogonal Machine Learning: Power and Limitations<\/a>
\nFriday, July 13, 2018 | 5:00 PM\u20135:20 PM | A5<\/h3>\n

Ilias Zadik, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a><\/p>\n

Stein Points
\nFriday, July 13, 2018 | 5:30 PM\u20135:40 PM | A4<\/h3>\n

Wilson Ye Chen, Lester Mackey<\/strong><\/a>, Jackson Gorham, Francois-Xavier Briol, Chris J Oates<\/p>\n

Accurate Inference for Adaptive Linear Models
\nFriday, July 13, 2018 | 5:40 PM\u20135:50\u00a0PM | A5<\/h3>\n

Yash Deshpande, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a>, Matt Taddy<\/strong><\/p>\n

A Unified Framework for Structured Low-rank Matrix Learning
\nFriday, July 13, 2018 | 5:40 PM\u20135:50 PM | K11<\/h3>\n

Pratik Kumar Jawanpuria<\/strong>, Bamdev Mishra<\/strong><\/p>\n

Opens in a new tab<\/span><\/p>\n

Differentially Private Matrix Completion, Revisited
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #6<\/h3>\n

Prateek Jain<\/strong><\/a>, Om Dipakbhai Thakkar, Abhradeep Thakurta<\/p>\n

Model-Level Dual Learning
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #8<\/h3>\n

Yingce Xia, Xu Tan<\/strong><\/a>, Fei Tian<\/strong><\/a>, Tao Qin<\/strong><\/a>, Tie-Yan Liu<\/strong><\/p>\n

Learning Deep ResNet Blocks Sequentially using Boosting Theory
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #14<\/h3>\n

Furong Huang, Jordan Ash, John Langford<\/strong><\/a>, Robert Schapire<\/strong><\/a><\/p>\n

Semi-supervised learning via compact latent space clustering<\/a>
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #50<\/h3>\n

Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi<\/strong><\/a>, Aditya Nori<\/strong><\/a><\/p>\n

Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #71<\/h3>\n

Zeyuan Allen-Zhu<\/strong><\/a><\/p>\n

Which Training Methods for GANs do actually Converge?
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #77<\/h3>\n

Lars Mescheder, Andreas Geiger, Sebastian Nowozin<\/strong><\/a><\/p>\n

Fair and Diverse DPP-based Data Summarization
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #111<\/h3>\n

Elisa Celis, Vijay Keswani, Damian Straszak, Amit Jayant Deshpande<\/strong><\/a>, Tarun Kathuria, Nisheeth Vishnoi<\/p>\n

Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #34<\/h3>\n

Zhihao Jia, Sina Lin, <\/strong>Charles Qi, Alex Aiken<\/p>\n

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation<\/a>
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B#41<\/h3>\n

Bo Dai, Albert Shaw, Lihong Li, Lin Xiao<\/strong><\/a>, Niao He, Zhen Liu, Jianshu Chen<\/strong>, Le Song<\/p>\n

Thompson Sampling for Combinatorial Semi-Bandits<\/a>
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B#57<\/h3>\n

Siwei Wang, Wei Chen<\/strong><\/p>\n

Towards Binary-Valued Gates for Robust LSTM Training
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #63<\/h3>\n

Zhuohan Li, Di He, Fei Tian<\/strong><\/a>, Wei Chen<\/strong><\/a>, Tao Qin<\/strong><\/a>, Liwei Wang, Tie-Yan Liu<\/strong><\/a><\/p>\n

Practical Contextual Bandits with Regression Oracles<\/a>
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #80<\/h3>\n

Dylan Foster, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Haipeng Luo, Robert Schapire<\/strong><\/a><\/p>\n

Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #124<\/h3>\n

Zeyuan Allen-Zhu<\/strong><\/a>, Sebastien Bubeck<\/strong><\/a>, Yuanzhi Li<\/p>\n

Compressing Neural Networks using the Variational Information Bottleneck
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #128<\/h3>\n

Bin Dai, Chen Zhu, Baining Guo<\/strong><\/a>, David Wipf<\/strong><\/a><\/p>\n

Focused Hierarchical RNNs for Conditional Sequence Processing
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #170<\/h3>\n

Nan Ke, Konrad Zolna, Alessandro Sordoni<\/strong><\/a>, Zhouhan Lin Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal<\/p>\n

Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #179<\/h3>\n

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra<\/strong><\/p>\n

Stein Points
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #1<\/h3>\n

Wilson Ye Chen, Lester Mackey<\/strong><\/a>, Jackson Gorham, Francois-Xavier Briol, Chris J Oates<\/p>\n

Orthogonal Machine Learning: Power and Limitations
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #11<\/h3>\n

Ilias Zadik, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a><\/p>\n

Hierarchical Imitation and Reinforcement Learning<\/a>
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #15<\/h3>\n

Hoang M Le, Nan Jiang<\/strong><\/a>, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Yisong Yue, Hal Daume<\/strong><\/a><\/p>\n

Rapid Adaptation with Conditionally Shifted Neurons<\/a>
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #33<\/h3>\n

Tsendsuren Munkhdalai<\/strong><\/a>, Xingdi Yuan<\/strong><\/a>, Soroush Mehri<\/strong><\/a>, Adam Trischler<\/strong><\/a><\/p>\n

A Reductions Approach to Fair Classification<\/a>
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #89<\/h3>\n

Alekh Agarwal<\/strong><\/a>, Alina Beygelzimer, Miroslav Dudik<\/strong>, John Langford<\/strong><\/a>, Hanna Wallach<\/strong><\/a><\/p>\n

A Unified Framework for Structured Low-rank Matrix Learning
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #92<\/h3>\n

Pratik Kumar Jawanpuria<\/strong>, Bamdev Mishra<\/strong><\/p>\n

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #119<\/h3>\n

Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni<\/strong><\/a>, Philip Bachman<\/strong><\/a>, Aaron Courville<\/p>\n

Semiparametric Contextual Bandits
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #136<\/h3>\n

Akshay Krishnamurthy, Zhiwei Wu, Vasilis Syrgkanis<\/strong><\/a><\/p>\n

Video Prediction with Appearance and Motion Conditions
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #158<\/h3>\n

Yunseok Jang, Gunhee Kim, Yale Song<\/strong><\/a><\/p>\n

Accurate Inference for Adaptive Linear Models
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #166<\/h3>\n

Yash Deshpande, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a>, Matt Taddy<\/strong><\/p>\n

Opens in a new tab<\/span><\/p>\n

Machine Learning for Personalised Health (opens in new tab)<\/span><\/a>
\nTuesday, July 10, 2018 | 3:45 PM-6:00 PM | K1 + K2<\/h3>\n

Danielle Belgrave<\/strong><\/a>, Konstantina Palla, Lamiae Azizi<\/p>\n

Opens in a new tab<\/span><\/p>\n

Humanizing AI
\nSunday, July 15, 2018 | 8:30 AM\u20135:30 PM | Room T3<\/h3>\n

Organizers: Dr. Radhakrishnan Srikanth, Niranjan Nayak, Dr. Manoj Kumar Chinnakotla, Puneet Agrawal<\/p>\n

FAIM\u201918 Workshop on CausalML
\nSunday, July 15, 2018 | 8:30 AM\u20136:00 PM | A6<\/h3>\n

Organizer: Adith Swaminathan<\/strong><\/a><\/p>\n

Opens in a new tab<\/span><\/p>\n

Join us in our donation #MSFTResearchGives.<\/h2>\n

Help us choose which organization should receive this donation by voting on our Twitter poll @MSFTResearch. (opens in new tab)<\/span><\/a><\/h3>\n

In lieu of purchasing thousands of giveaway items, we have decided to reduce our environmental footprint and donate to one of the following organizations:<\/p>\n

\n

\"Code.org\u00ae (opens in new tab)<\/span><\/a>Code.org<\/h2>\n

Code.org\u00ae is a non-profit dedicated to expanding access to computer science, and increasing participation by women and underrepresented minorities. Their vision is that every student in every school should have the opportunity to learn computer science, just like biology, chemistry or algebra. Code.org organizes the annual\u00a0Hour of Code (opens in new tab)<\/span><\/a>\u00a0campaign which has engaged 10% of all students in the world, and provides the leading curriculum for K-12 computer science in the largest school districts in the United States.<\/p>\n

\n

\"FIRST (opens in new tab)<\/span><\/a>FIRST<\/em><\/h2>\n

FIRST<\/i> (F<\/b>or Inspiration and R<\/b>ecognition of S<\/b>cience and T<\/b>echnology) was founded in 1989 to inspire young people’s interest and participation in science and technology. Based in Manchester, NH, the 501(c)(3) not-for-profit public charity designs accessible, innovative programs that motivate young people to pursue education and career opportunities in science, technology, engineering, and math, while building self-confidence, knowledge, and life skills.<\/p>\n

FIRST<\/em> is More Than Robots<\/b>. FIRST<\/i> participation is proven to encourage students to pursue education and careers in STEM-related fields, inspire them to become leaders and innovators, and enhance their 21st century work-life skills. Read more about the Impact of FIRST<\/i>.<\/p>\n

Learn more at www.firstinspires.org (opens in new tab)<\/span><\/a>.<\/p>\n

\n

\"Girls (opens in new tab)<\/span><\/a>Girls Who Code<\/h2>\n

Girls Who Code (opens in new tab)<\/span><\/a> focuses on closing the gender gap in technology. Through the National Girls Who Code Clubs program, Girls Who Code offers a free after-school program for 6th-12th graders that provides computer science instruction along with a community of supportive peers and role models. With support from Microsoft, Girls Who Code will expand the program in cities and rural communities. The support will enable greater engagement within these communities, support of volunteer instructors, a refresh of curriculum, tools, and program evaluation as well as program enrichment opportunities, such as field trips, guest speakers, and meet-ups.<\/p>\n

\n

Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Microsoft is proud to be a Platinum sponsor of the Thirty-fifth International Conference on Machine Learning (ICML) July 10, 2018 \u2013 July 15, 2018 in Stockholm, Sweden. With twenty-six accepted papers, a tutorial and two workshops, we will have over 40 representatives from Microsoft in attendance. Come by our booth to chat with our experts, see demos of our latest research and find out about career opportunities with Microsoft. <\/p>\n","protected":false},"featured_media":492584,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2018-07-10","msr_enddate":"2018-07-15","msr_location":"Stockholm, Sweden","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"https:\/\/icml.cc\/Register\/view-registration","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556],"msr-region":[239178],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-492515","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-europe","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"\n\n

Venue:<\/strong> Stockholmsm\u00e4ssan (opens in new tab)<\/span><\/a>
\nM\u00e4ssv\u00e4gen 1 \u00c4lvsj\u00f6
\nSweden<\/p>\n

Website:<\/strong> ICML 2018 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is proud to be a Platinum sponsor of the Thirty-fifth International Conference on Machine Learning<\/a> (ICML) July 10, 2018 \u2013 July 15, 2018 in Stockholm, Sweden. With twenty-six accepted papers, a tutorial and two workshops, we will have over 40 representatives from Microsoft in attendance. Come by our booth to chat with our experts, see demos of our latest research and find out about career opportunities with Microsoft.<\/p>\n

Committee Chairs<\/h2>\n

ICML President Elect<\/h3>\n

John Langford<\/a><\/p>\n

Microsoft Attendees<\/h2>\n

Alekh Agarwal<\/a>
\nAlessandro Sordoni<\/a>
\nAlex Slivkins<\/a>
\nAmeera Patel
\nAustin Gross
\nBailu Ding<\/a>
\nBrandon Smock
\nCheng Zhang
\nChristopher Bishop<\/a>
\nDanielle Belgrave<\/a>
\nGreg Yang<\/a>
\nHarm van Seijen<\/a>
\nHuishuai Zhang
\nJennifer Marsman
\nJustin Bronder
\nKatja Hofmann<\/a>
\nKonstantina Palla
\nLin Xiao<\/a>
\nMarc Trembley
\nMehdi Fatemi<\/a>
\nMiroslav Dudik<\/a>
\nNatalia An
\nNikos Karampatziakis<\/a>
\nOfer Dekel<\/a>
\nOlga Liakhovich
\nOlivia Klose
\nPaul Mineiro
\nPhilip Bachman<\/a>
\nPraneeth Netrapalli<\/a>
\nPrateek Jain<\/a>
\nRicky Loynd<\/a>
\nRoland Fernandez<\/a>
\nRyota Tomioka<\/a>
\nSam Devlin<\/a>
\nShauheen Zahirazami
\nStuart Schaefer
\nSusan Dumais<\/a>
\nTingting Zhao
\nTsendsuren Munkhdalai<\/a>
\nXingdi Yuan<\/a>
\nYale Song<\/a><\/p>\n

Opens in a new tab<\/span><\/p>\n

Semi-supervised learning via compact latent space clustering<\/a>
\nWednesday, July 11, 2018 | 1:50 PM\u20132:10\u00a0PM | Victoria<\/h3>\n

Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi<\/strong><\/a>, Aditya Nori<\/strong><\/a><\/p>\n

Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization<\/a>
\nWednesday, July 11, 2018 | 2:10 PM\u20132:20\u00a0PM | A9<\/h3>\n

Zeyuan Allen-Zhu<\/strong><\/a><\/p>\n

Learning Deep ResNet Blocks Sequentially using Boosting Theory
\nWednesday, July 11, 2018 | 5:40 PM\u20135:50\u00a0PM | K1 + K2<\/h3>\n

Furong Huang, Jordan Ash, John Langford<\/strong><\/a>, Robert Schapire<\/strong><\/a><\/p>\n

Model-Level Dual Learning
\nWednesday, July 11, 2018 | 3:20 PM\u20133:30\u00a0PM | Victoria<\/h3>\n

Yingce Xia, Xu Tan<\/strong><\/a>, Fei Tian<\/strong><\/a>, Tao Qin<\/strong><\/a>, Tie-Yan Liu<\/strong><\/p>\n

Differentially Private Matrix Completion, Revisited
\nWednesday, July 11, 2018 | 4:00 PM\u20134:20\u00a0PM | A6<\/h3>\n

Prateek Jain<\/strong><\/a>, Om Dipakbhai Thakkar, Abhradeep Thakurta<\/p>\n

Which Training Methods for GANs do actually Converge?
\nWednesday, July 11, 2018 | 4:00 PM\u20134:20\u00a0PM | A7<\/h3>\n

Lars Mescheder, Andreas Geiger, Sebastian Nowozin<\/strong><\/a><\/p>\n

Fair and Diverse DPP-based Data Summarization
\nWednesday, July 11, 2018 | 5:50 PM\u20136:00\u00a0PM | A6<\/h3>\n

Elisa Celis, Vijay Keswani, Damian Straszak, Amit Jayant Deshpande<\/strong><\/a>, Tarun Kathuria, Nisheeth Vishnoi<\/p>\n

Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
\nThursday, July 12, 2018 | 11:00 AM\u201311:20 AM | A9<\/h3>\n

Zhihao Jia, Sina Lin, <\/strong>Charles Qi, Alex Aiken<\/p>\n

Compressing Neural Networks using the Variational Information Bottleneck
\nThursday, July 12, 2018 | 11:20 AM\u201311:40\u00a0AM | Victoria<\/h3>\n

Bin Dai, Chen Zhu, Baining Guo<\/strong><\/a>, David Wipf<\/strong><\/a><\/p>\n

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation<\/a>
\nThursday, July 12, 2018 | 11:20 AM\u201311:40 AM | A1<\/h3>\n

Bo Dai, Albert Shaw, Lihong Li, Lin Xiao<\/strong><\/a>, Niao He, Zhen Liu, Jianshu Chen<\/strong>, Le Song<\/p>\n

Focused Hierarchical RNNs for Conditional Sequence Processing
\nThursday, July 12, 2018 | 1:30 PM\u20131:50 PM | Victoria<\/h3>\n

Nan Ke, Konrad Zolna, Alessandro Sordoni<\/strong><\/a>, Zhouhan Lin Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal<\/p>\n

Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits
\nThursday, July 12, 2018 | 3:10 PM\u20133:20\u00a0PM | A5<\/h3>\n

Zeyuan Allen-Zhu<\/strong><\/a>, Sebastien Bubeck<\/strong><\/a>, Yuanzhi Li<\/p>\n

Thompson Sampling for Combinatorial Semi-Bandits<\/a>
\nThursday, July 12, 2018 | 3:20 PM\u20133:30\u00a0PM | A5<\/h3>\n

Siwei Wang, Wei Chen<\/strong><\/p>\n

Practical Contextual Bandits with Regression Oracles<\/a>
\nThursday, July 12, 2018 | 4:20 PM\u20134:40\u00a0PM | A5<\/h3>\n

Dylan Foster, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Haipeng Luo, Robert Schapire<\/strong><\/a><\/p>\n

Towards Binary-Valued Gates for Robust LSTM Training
\nThursday, July 12, 2018 | 4:50 PM\u20135:00\u00a0PM | A3<\/h3>\n

Zhuohan Li, Di He, Fei Tian<\/strong><\/a>, Wei Chen<\/strong><\/a>, Tao Qin<\/strong><\/a>, Liwei Wang, Tie-Yan Liu<\/strong><\/a><\/p>\n

Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis
\nThursday, July 12, 2018 | 5:30 PM\u20135:40\u00a0PM | A9<\/h3>\n

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra<\/strong><\/p>\n

A Reductions Approach to Fair Classification<\/a>
\nFriday, July 13, 2018 | 9:30 AM\u20139:50\u00a0AM | A6<\/h3>\n

Alekh Agarwal<\/strong><\/a>, Alina Beygelzimer, Miroslav Dudik<\/strong>, John Langford<\/strong><\/a>, Hanna Wallach<\/strong><\/a><\/p>\n

Video Prediction with Appearance and Motion Conditions
\nFriday, July 13, 2018 | 10:00 AM\u201310:10 AM | K1<\/h3>\n

Yunseok Jang, Gunhee Kim, Yale Song<\/strong><\/a><\/p>\n

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
\nFriday, July 13, 2018 | 10:20 AM\u201310:30 AM | A7<\/h3>\n

Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni<\/strong><\/a>, Philip Bachman<\/strong><\/a>, Aaron Courville<\/p>\n

Hierarchical Imitation and Reinforcement Learning<\/a>
\nFriday, July 13, 2018 |\u00a011:00 AM\u201311:20 AM | A1<\/h3>\n

Hoang M Le, Nan Jiang<\/strong><\/a>, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Yisong Yue, Hal Daume<\/strong><\/a><\/p>\n

Semiparametric Contextual Bandits<\/a>
\nFriday, July 13, 2018 | 11:20 AM\u201311:40 AM | A5<\/h3>\n

Akshay Krishnamurthy, Zhiwei Wu, Vasilis Syrgkanis<\/strong><\/a><\/p>\n

Rapid Adaptation with Conditionally Shifted Neurons<\/a>
\nFriday, July 13, 2018 | 4:40 PM\u20134:50 PM| Victoria<\/h3>\n

Tsendsuren Munkhdalai<\/strong><\/a>, Xingdi Yuan<\/strong><\/a>, Soroush Mehri<\/strong><\/a>, Adam Trischler<\/strong><\/a><\/p>\n

Orthogonal Machine Learning: Power and Limitations<\/a>
\nFriday, July 13, 2018 | 5:00 PM\u20135:20 PM | A5<\/h3>\n

Ilias Zadik, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a><\/p>\n

Stein Points
\nFriday, July 13, 2018 | 5:30 PM\u20135:40 PM | A4<\/h3>\n

Wilson Ye Chen, Lester Mackey<\/strong><\/a>, Jackson Gorham, Francois-Xavier Briol, Chris J Oates<\/p>\n

Accurate Inference for Adaptive Linear Models
\nFriday, July 13, 2018 | 5:40 PM\u20135:50\u00a0PM | A5<\/h3>\n

Yash Deshpande, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a>, Matt Taddy<\/strong><\/p>\n

A Unified Framework for Structured Low-rank Matrix Learning
\nFriday, July 13, 2018 | 5:40 PM\u20135:50 PM | K11<\/h3>\n

Pratik Kumar Jawanpuria<\/strong>, Bamdev Mishra<\/strong><\/p>\n

Opens in a new tab<\/span><\/p>\n

Differentially Private Matrix Completion, Revisited
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #6<\/h3>\n

Prateek Jain<\/strong><\/a>, Om Dipakbhai Thakkar, Abhradeep Thakurta<\/p>\n

Model-Level Dual Learning
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #8<\/h3>\n

Yingce Xia, Xu Tan<\/strong><\/a>, Fei Tian<\/strong><\/a>, Tao Qin<\/strong><\/a>, Tie-Yan Liu<\/strong><\/p>\n

Learning Deep ResNet Blocks Sequentially using Boosting Theory
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #14<\/h3>\n

Furong Huang, Jordan Ash, John Langford<\/strong><\/a>, Robert Schapire<\/strong><\/a><\/p>\n

Semi-supervised learning via compact latent space clustering<\/a>
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #50<\/h3>\n

Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi<\/strong><\/a>, Aditya Nori<\/strong><\/a><\/p>\n

Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #71<\/h3>\n

Zeyuan Allen-Zhu<\/strong><\/a><\/p>\n

Which Training Methods for GANs do actually Converge?
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #77<\/h3>\n

Lars Mescheder, Andreas Geiger, Sebastian Nowozin<\/strong><\/a><\/p>\n

Fair and Diverse DPP-based Data Summarization
\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #111<\/h3>\n

Elisa Celis, Vijay Keswani, Damian Straszak, Amit Jayant Deshpande<\/strong><\/a>, Tarun Kathuria, Nisheeth Vishnoi<\/p>\n

Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #34<\/h3>\n

Zhihao Jia, Sina Lin, <\/strong>Charles Qi, Alex Aiken<\/p>\n

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation<\/a>
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B#41<\/h3>\n

Bo Dai, Albert Shaw, Lihong Li, Lin Xiao<\/strong><\/a>, Niao He, Zhen Liu, Jianshu Chen<\/strong>, Le Song<\/p>\n

Thompson Sampling for Combinatorial Semi-Bandits<\/a>
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B#57<\/h3>\n

Siwei Wang, Wei Chen<\/strong><\/p>\n

Towards Binary-Valued Gates for Robust LSTM Training
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #63<\/h3>\n

Zhuohan Li, Di He, Fei Tian<\/strong><\/a>, Wei Chen<\/strong><\/a>, Tao Qin<\/strong><\/a>, Liwei Wang, Tie-Yan Liu<\/strong><\/a><\/p>\n

Practical Contextual Bandits with Regression Oracles<\/a>
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #80<\/h3>\n

Dylan Foster, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Haipeng Luo, Robert Schapire<\/strong><\/a><\/p>\n

Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #124<\/h3>\n

Zeyuan Allen-Zhu<\/strong><\/a>, Sebastien Bubeck<\/strong><\/a>, Yuanzhi Li<\/p>\n

Compressing Neural Networks using the Variational Information Bottleneck
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #128<\/h3>\n

Bin Dai, Chen Zhu, Baining Guo<\/strong><\/a>, David Wipf<\/strong><\/a><\/p>\n

Focused Hierarchical RNNs for Conditional Sequence Processing
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #170<\/h3>\n

Nan Ke, Konrad Zolna, Alessandro Sordoni<\/strong><\/a>, Zhouhan Lin Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal<\/p>\n

Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis
\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #179<\/h3>\n

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra<\/strong><\/p>\n

Stein Points
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #1<\/h3>\n

Wilson Ye Chen, Lester Mackey<\/strong><\/a>, Jackson Gorham, Francois-Xavier Briol, Chris J Oates<\/p>\n

Orthogonal Machine Learning: Power and Limitations
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #11<\/h3>\n

Ilias Zadik, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a><\/p>\n

Hierarchical Imitation and Reinforcement Learning<\/a>
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #15<\/h3>\n

Hoang M Le, Nan Jiang<\/strong><\/a>, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Yisong Yue, Hal Daume<\/strong><\/a><\/p>\n

Rapid Adaptation with Conditionally Shifted Neurons<\/a>
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #33<\/h3>\n

Tsendsuren Munkhdalai<\/strong><\/a>, Xingdi Yuan<\/strong><\/a>, Soroush Mehri<\/strong><\/a>, Adam Trischler<\/strong><\/a><\/p>\n

A Reductions Approach to Fair Classification<\/a>
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #89<\/h3>\n

Alekh Agarwal<\/strong><\/a>, Alina Beygelzimer, Miroslav Dudik<\/strong>, John Langford<\/strong><\/a>, Hanna Wallach<\/strong><\/a><\/p>\n

A Unified Framework for Structured Low-rank Matrix Learning
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #92<\/h3>\n

Pratik Kumar Jawanpuria<\/strong>, Bamdev Mishra<\/strong><\/p>\n

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #119<\/h3>\n

Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni<\/strong><\/a>, Philip Bachman<\/strong><\/a>, Aaron Courville<\/p>\n

Semiparametric Contextual Bandits
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #136<\/h3>\n

Akshay Krishnamurthy, Zhiwei Wu, Vasilis Syrgkanis<\/strong><\/a><\/p>\n

Video Prediction with Appearance and Motion Conditions
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #158<\/h3>\n

Yunseok Jang, Gunhee Kim, Yale Song<\/strong><\/a><\/p>\n

Accurate Inference for Adaptive Linear Models
\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #166<\/h3>\n

Yash Deshpande, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a>, Matt Taddy<\/strong><\/p>\n

Opens in a new tab<\/span><\/p>\n

Machine Learning for Personalised Health<\/a>
\nTuesday, July 10, 2018 | 3:45 PM-6:00 PM | K1 + K2<\/h3>\n

Danielle Belgrave<\/strong><\/a>, Konstantina Palla, Lamiae Azizi<\/p>\n

Opens in a new tab<\/span><\/p>\n

Humanizing AI
\nSunday, July 15, 2018 | 8:30 AM\u20135:30 PM | Room T3<\/h3>\n

Organizers: Dr. Radhakrishnan Srikanth, Niranjan Nayak, Dr. Manoj Kumar Chinnakotla, Puneet Agrawal<\/p>\n

FAIM\u201918 Workshop on CausalML
\nSunday, July 15, 2018 | 8:30 AM\u20136:00 PM | A6<\/h3>\n

Organizer: Adith Swaminathan<\/strong><\/a><\/p>\n

Opens in a new tab<\/span><\/p>\n

Join us in our donation #MSFTResearchGives.<\/h2>\n

Help us choose which organization should receive this donation by voting on our Twitter poll @MSFTResearch. (opens in new tab)<\/span><\/a><\/h3>\n

In lieu of purchasing thousands of giveaway items, we have decided to reduce our environmental footprint and donate to one of the following organizations:<\/p>\n

\n

\"Code.org\u00ae (opens in new tab)<\/span><\/a>Code.org<\/h2>\n

Code.org\u00ae is a non-profit dedicated to expanding access to computer science, and increasing participation by women and underrepresented minorities. Their vision is that every student in every school should have the opportunity to learn computer science, just like biology, chemistry or algebra. Code.org organizes the annual\u00a0Hour of Code (opens in new tab)<\/span><\/a>\u00a0campaign which has engaged 10% of all students in the world, and provides the leading curriculum for K-12 computer science in the largest school districts in the United States.<\/p>\n

\n

\"FIRST (opens in new tab)<\/span><\/a>FIRST<\/em><\/h2>\n

FIRST<\/i> (F<\/b>or Inspiration and R<\/b>ecognition of S<\/b>cience and T<\/b>echnology) was founded in 1989 to inspire young people’s interest and participation in science and technology. Based in Manchester, NH, the 501(c)(3) not-for-profit public charity designs accessible, innovative programs that motivate young people to pursue education and career opportunities in science, technology, engineering, and math, while building self-confidence, knowledge, and life skills.<\/p>\n

FIRST<\/em> is More Than Robots<\/b>. FIRST<\/i> participation is proven to encourage students to pursue education and careers in STEM-related fields, inspire them to become leaders and innovators, and enhance their 21st century work-life skills. Read more about the Impact of FIRST<\/i>.<\/p>\n

Learn more at www.firstinspires.org (opens in new tab)<\/span><\/a>.<\/p>\n

\n

\"Girls (opens in new tab)<\/span><\/a>Girls Who Code<\/h2>\n

Girls Who Code (opens in new tab)<\/span><\/a> focuses on closing the gender gap in technology. Through the National Girls Who Code Clubs program, Girls Who Code offers a free after-school program for 6th-12th graders that provides computer science instruction along with a community of supportive peers and role models. With support from Microsoft, Girls Who Code will expand the program in cities and rural communities. The support will enable greater engagement within these communities, support of volunteer instructors, a refresh of curriculum, tools, and program evaluation as well as program enrichment opportunities, such as field trips, guest speakers, and meet-ups.<\/p>\n

\n

Opens in a new tab<\/span><\/p>\n","tab-content":[{"id":0,"name":"About","content":"Microsoft is proud to be a Platinum sponsor of the Thirty-fifth International Conference on Machine Learning<\/a> (ICML) July 10, 2018 \u2013 July 15, 2018 in Stockholm, Sweden. With twenty-six accepted papers, a tutorial and two workshops, we will have over 40 representatives from Microsoft in attendance. Come by our booth to chat with our experts, see demos of our latest research and find out about career opportunities with Microsoft.\r\n

Committee Chairs<\/h2>\r\n

ICML President Elect<\/h3>\r\n

John Langford<\/a><\/p>\r\n\r\n

Microsoft Attendees<\/h2>\r\n

Alekh Agarwal<\/a>\r\nAlessandro Sordoni<\/a>\r\nAlex Slivkins<\/a>\r\nAmeera Patel\r\nAustin Gross\r\nBailu Ding<\/a>\r\nBrandon Smock\r\nCheng Zhang\r\nChristopher Bishop<\/a>\r\nDanielle Belgrave<\/a>\r\nGreg Yang<\/a>\r\nHarm van Seijen<\/a>\r\nHuishuai Zhang\r\nJennifer Marsman\r\nJustin Bronder\r\nKatja Hofmann<\/a>\r\nKonstantina Palla\r\nLin Xiao<\/a>\r\nMarc Trembley\r\nMehdi Fatemi<\/a>\r\nMiroslav Dudik<\/a>\r\nNatalia An\r\nNikos Karampatziakis<\/a>\r\nOfer Dekel<\/a>\r\nOlga Liakhovich\r\nOlivia Klose\r\nPaul Mineiro\r\nPhilip Bachman<\/a>\r\nPraneeth Netrapalli<\/a>\r\nPrateek Jain<\/a>\r\nRicky Loynd<\/a>\r\nRoland Fernandez<\/a>\r\nRyota Tomioka<\/a>\r\nSam Devlin<\/a>\r\nShauheen Zahirazami\r\nStuart Schaefer\r\nSusan Dumais<\/a>\r\nTingting Zhao\r\nTsendsuren Munkhdalai<\/a>\r\nXingdi Yuan<\/a>\r\nYale Song<\/a><\/p>"},{"id":1,"name":"Oral Presentations","content":"

Semi-supervised learning via compact latent space clustering<\/a>\r\nWednesday, July 11, 2018 | 1:50 PM\u20132:10\u00a0PM | Victoria<\/h3>\r\n

Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi<\/strong><\/a>, Aditya Nori<\/strong><\/a><\/p>\r\n\r\n

Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization<\/a>\r\nWednesday, July 11, 2018 | 2:10 PM\u20132:20\u00a0PM | A9<\/h3>\r\n

Zeyuan Allen-Zhu<\/strong><\/a><\/p>\r\n\r\n

Learning Deep ResNet Blocks Sequentially using Boosting Theory\r\nWednesday, July 11, 2018 | 5:40 PM\u20135:50\u00a0PM | K1 + K2<\/h3>\r\n

Furong Huang, Jordan Ash, John Langford<\/strong><\/a>, Robert Schapire<\/strong><\/a><\/p>\r\n\r\n

Model-Level Dual Learning\r\nWednesday, July 11, 2018 | 3:20 PM\u20133:30\u00a0PM | Victoria<\/h3>\r\n

Yingce Xia, Xu Tan<\/strong><\/a>, Fei Tian<\/strong><\/a>, Tao Qin<\/strong><\/a>, Tie-Yan Liu<\/strong><\/p>\r\n\r\n

Differentially Private Matrix Completion, Revisited\r\nWednesday, July 11, 2018 | 4:00 PM\u20134:20\u00a0PM | A6<\/h3>\r\n

Prateek Jain<\/strong><\/a>, Om Dipakbhai Thakkar, Abhradeep Thakurta<\/p>\r\n\r\n

Which Training Methods for GANs do actually Converge?\r\nWednesday, July 11, 2018 | 4:00 PM\u20134:20\u00a0PM | A7<\/h3>\r\n

Lars Mescheder, Andreas Geiger, Sebastian Nowozin<\/strong><\/a><\/p>\r\n\r\n

Fair and Diverse DPP-based Data Summarization\r\nWednesday, July 11, 2018 | 5:50 PM\u20136:00\u00a0PM | A6<\/h3>\r\n

Elisa Celis, Vijay Keswani, Damian Straszak, Amit Jayant Deshpande<\/strong><\/a>, Tarun Kathuria, Nisheeth Vishnoi<\/p>\r\n\r\n

Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks\r\nThursday, July 12, 2018 | 11:00 AM\u201311:20 AM | A9<\/h3>\r\n

Zhihao Jia, Sina Lin, <\/strong>Charles Qi, Alex Aiken<\/p>\r\n\r\n

Compressing Neural Networks using the Variational Information Bottleneck\r\nThursday, July 12, 2018 | 11:20 AM\u201311:40\u00a0AM | Victoria<\/h3>\r\n

Bin Dai, Chen Zhu, Baining Guo<\/strong><\/a>, David Wipf<\/strong><\/a><\/p>\r\n\r\n

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation<\/a>\r\nThursday, July 12, 2018 | 11:20 AM\u201311:40 AM | A1<\/h3>\r\n

Bo Dai, Albert Shaw, Lihong Li, Lin Xiao<\/strong><\/a>, Niao He, Zhen Liu, Jianshu Chen<\/strong>, Le Song<\/p>\r\n\r\n

Focused Hierarchical RNNs for Conditional Sequence Processing\r\nThursday, July 12, 2018 | 1:30 PM\u20131:50 PM | Victoria<\/h3>\r\n

Nan Ke, Konrad Zolna, Alessandro Sordoni<\/strong><\/a>, Zhouhan Lin Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal<\/p>\r\n\r\n

Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits\r\nThursday, July 12, 2018 | 3:10 PM\u20133:20\u00a0PM | A5<\/h3>\r\n

Zeyuan Allen-Zhu<\/strong><\/a>, Sebastien Bubeck<\/strong><\/a>, Yuanzhi Li<\/p>\r\n\r\n

Thompson Sampling for Combinatorial Semi-Bandits<\/a>\r\nThursday, July 12, 2018 | 3:20 PM\u20133:30\u00a0PM | A5<\/h3>\r\n

Siwei Wang, Wei Chen<\/strong><\/p>\r\n\r\n

Practical Contextual Bandits with Regression Oracles<\/a>\r\nThursday, July 12, 2018 | 4:20 PM\u20134:40\u00a0PM | A5<\/h3>\r\n

Dylan Foster, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Haipeng Luo, Robert Schapire<\/strong><\/a><\/p>\r\n\r\n

Towards Binary-Valued Gates for Robust LSTM Training\r\nThursday, July 12, 2018 | 4:50 PM\u20135:00\u00a0PM | A3<\/h3>\r\n

Zhuohan Li, Di He, Fei Tian<\/strong><\/a>, Wei Chen<\/strong><\/a>, Tao Qin<\/strong><\/a>, Liwei Wang, Tie-Yan Liu<\/strong><\/a><\/p>\r\n\r\n

Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis\r\nThursday, July 12, 2018 | 5:30 PM\u20135:40\u00a0PM | A9<\/h3>\r\n

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra<\/strong><\/p>\r\n\r\n

A Reductions Approach to Fair Classification<\/a>\r\nFriday, July 13, 2018 | 9:30 AM\u20139:50\u00a0AM | A6<\/h3>\r\n

Alekh Agarwal<\/strong><\/a>, Alina Beygelzimer, Miroslav Dudik<\/strong>, John Langford<\/strong><\/a>, Hanna Wallach<\/strong><\/a><\/p>\r\n\r\n

Video Prediction with Appearance and Motion Conditions\r\nFriday, July 13, 2018 | 10:00 AM\u201310:10 AM | K1<\/h3>\r\n

Yunseok Jang, Gunhee Kim, Yale Song<\/strong><\/a><\/p>\r\n\r\n

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data\r\nFriday, July 13, 2018 | 10:20 AM\u201310:30 AM | A7<\/h3>\r\n

Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni<\/strong><\/a>, Philip Bachman<\/strong><\/a>, Aaron Courville<\/p>\r\n\r\n

Hierarchical Imitation and Reinforcement Learning<\/a>\r\nFriday, July 13, 2018 |\u00a011:00 AM\u201311:20 AM | A1<\/h3>\r\n

Hoang M Le, Nan Jiang<\/strong><\/a>, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Yisong Yue, Hal Daume<\/strong><\/a><\/p>\r\n\r\n

Semiparametric Contextual Bandits<\/a>\r\nFriday, July 13, 2018 | 11:20 AM\u201311:40 AM | A5<\/h3>\r\n

Akshay Krishnamurthy, Zhiwei Wu, Vasilis Syrgkanis<\/strong><\/a><\/p>\r\n\r\n

Rapid Adaptation with Conditionally Shifted Neurons<\/a>\r\nFriday, July 13, 2018 | 4:40 PM\u20134:50 PM| Victoria<\/h3>\r\n

Tsendsuren Munkhdalai<\/strong><\/a>, Xingdi Yuan<\/strong><\/a>, Soroush Mehri<\/strong><\/a>, Adam Trischler<\/strong><\/a><\/p>\r\n\r\n

Orthogonal Machine Learning: Power and Limitations<\/a>\r\nFriday, July 13, 2018 | 5:00 PM\u20135:20 PM | A5<\/h3>\r\n

Ilias Zadik, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a><\/p>\r\n\r\n

Stein Points\r\nFriday, July 13, 2018 | 5:30 PM\u20135:40 PM | A4<\/h3>\r\n

Wilson Ye Chen, Lester Mackey<\/strong><\/a>, Jackson Gorham, Francois-Xavier Briol, Chris J Oates<\/p>\r\n\r\n

Accurate Inference for Adaptive Linear Models\r\nFriday, July 13, 2018 | 5:40 PM\u20135:50\u00a0PM | A5<\/h3>\r\n

Yash Deshpande, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a>, Matt Taddy<\/strong><\/p>\r\n\r\n

A Unified Framework for Structured Low-rank Matrix Learning\r\nFriday, July 13, 2018 | 5:40 PM\u20135:50 PM | K11<\/h3>\r\n

Pratik Kumar Jawanpuria<\/strong>, Bamdev Mishra<\/strong><\/p>"},{"id":2,"name":"Posters","content":"

Differentially Private Matrix Completion, Revisited\r\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #6<\/h3>\r\n

Prateek Jain<\/strong><\/a>, Om Dipakbhai Thakkar, Abhradeep Thakurta<\/p>\r\n\r\n

Model-Level Dual Learning\r\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #8<\/h3>\r\n

Yingce Xia, Xu Tan<\/strong><\/a>, Fei Tian<\/strong><\/a>, Tao Qin<\/strong><\/a>, Tie-Yan Liu<\/strong><\/p>\r\n\r\n

Learning Deep ResNet Blocks Sequentially using Boosting Theory\r\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #14<\/h3>\r\n

Furong Huang, Jordan Ash, John Langford<\/strong><\/a>, Robert Schapire<\/strong><\/a><\/p>\r\n\r\n

Semi-supervised learning via compact latent space clustering<\/a>\r\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #50<\/h3>\r\n

Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi<\/strong><\/a>, Aditya Nori<\/strong><\/a><\/p>\r\n\r\n

Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization\r\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #71<\/h3>\r\n

Zeyuan Allen-Zhu<\/strong><\/a><\/p>\r\n\r\n

Which Training Methods for GANs do actually Converge?\r\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #77<\/h3>\r\n

Lars Mescheder, Andreas Geiger, Sebastian Nowozin<\/strong><\/a><\/p>\r\n\r\n

Fair and Diverse DPP-based Data Summarization\r\nWednesday, July 11, 2018 | 6:15 PM\u20139:00 PM | Hall B #111<\/h3>\r\n

Elisa Celis, Vijay Keswani, Damian Straszak, Amit Jayant Deshpande<\/strong><\/a>, Tarun Kathuria, Nisheeth Vishnoi<\/p>\r\n\r\n

Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks\r\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #34<\/h3>\r\n

Zhihao Jia, Sina Lin, <\/strong>Charles Qi, Alex Aiken<\/p>\r\n\r\n

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation<\/a>\r\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B#41<\/h3>\r\n

Bo Dai, Albert Shaw, Lihong Li, Lin Xiao<\/strong><\/a>, Niao He, Zhen Liu, Jianshu Chen<\/strong>, Le Song<\/p>\r\n\r\n

Thompson Sampling for Combinatorial Semi-Bandits<\/a>\r\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B#57<\/h3>\r\n

Siwei Wang, Wei Chen<\/strong><\/p>\r\n\r\n

Towards Binary-Valued Gates for Robust LSTM Training\r\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #63<\/h3>\r\n

Zhuohan Li, Di He, Fei Tian<\/strong><\/a>, Wei Chen<\/strong><\/a>, Tao Qin<\/strong><\/a>, Liwei Wang, Tie-Yan Liu<\/strong><\/a><\/p>\r\n\r\n

Practical Contextual Bandits with Regression Oracles<\/a>\r\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #80<\/h3>\r\n

Dylan Foster, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Haipeng Luo, Robert Schapire<\/strong><\/a><\/p>\r\n\r\n

Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits\r\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #124<\/h3>\r\n

Zeyuan Allen-Zhu<\/strong><\/a>, Sebastien Bubeck<\/strong><\/a>, Yuanzhi Li<\/p>\r\n\r\n

Compressing Neural Networks using the Variational Information Bottleneck\r\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #128<\/h3>\r\n

Bin Dai, Chen Zhu, Baining Guo<\/strong><\/a>, David Wipf<\/strong><\/a><\/p>\r\n\r\n

Focused Hierarchical RNNs for Conditional Sequence Processing\r\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #170<\/h3>\r\n

Nan Ke, Konrad Zolna, Alessandro Sordoni<\/strong><\/a>, Zhouhan Lin Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal<\/p>\r\n\r\n

Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis\r\nThursday, July 12, 2018 | 6:15 PM\u20139:00 PM | Hall B #179<\/h3>\r\n

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra<\/strong><\/p>\r\n\r\n

Stein Points\r\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #1<\/h3>\r\n

Wilson Ye Chen, Lester Mackey<\/strong><\/a>, Jackson Gorham, Francois-Xavier Briol, Chris J Oates<\/p>\r\n\r\n

Orthogonal Machine Learning: Power and Limitations\r\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #11<\/h3>\r\n

Ilias Zadik, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a><\/p>\r\n\r\n

Hierarchical Imitation and Reinforcement Learning<\/a>\r\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #15<\/h3>\r\n

Hoang M Le, Nan Jiang<\/strong><\/a>, Alekh Agarwal<\/strong><\/a>, Miroslav Dudik<\/strong>, Yisong Yue, Hal Daume<\/strong><\/a><\/p>\r\n\r\n

Rapid Adaptation with Conditionally Shifted Neurons<\/a>\r\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #33<\/h3>\r\n

Tsendsuren Munkhdalai<\/strong><\/a>, Xingdi Yuan<\/strong><\/a>, Soroush Mehri<\/strong><\/a>, Adam Trischler<\/strong><\/a><\/p>\r\n\r\n

A Reductions Approach to Fair Classification<\/a>\r\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #89<\/h3>\r\n

Alekh Agarwal<\/strong><\/a>, Alina Beygelzimer, Miroslav Dudik<\/strong>, John Langford<\/strong><\/a>, Hanna Wallach<\/strong><\/a><\/p>\r\n\r\n

A Unified Framework for Structured Low-rank Matrix Learning\r\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #92<\/h3>\r\n

Pratik Kumar Jawanpuria<\/strong>, Bamdev Mishra<\/strong><\/p>\r\n\r\n

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data\r\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #119<\/h3>\r\n

Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni<\/strong><\/a>, Philip Bachman<\/strong><\/a>, Aaron Courville<\/p>\r\n\r\n

Semiparametric Contextual Bandits\r\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #136<\/h3>\r\n

Akshay Krishnamurthy, Zhiwei Wu, Vasilis Syrgkanis<\/strong><\/a><\/p>\r\n\r\n

Video Prediction with Appearance and Motion Conditions\r\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #158<\/h3>\r\n

Yunseok Jang, Gunhee Kim, Yale Song<\/strong><\/a><\/p>\r\n\r\n

Accurate Inference for Adaptive Linear Models\r\nFriday, July 13, 2018 | 6:15 PM\u20139:00 PM | Hall B #166<\/h3>\r\n

Yash Deshpande, Lester Mackey<\/strong><\/a>, Vasilis Syrgkanis<\/strong><\/a>, Matt Taddy<\/strong><\/p>"},{"id":3,"name":"Tutorials","content":"

Machine Learning for Personalised Health<\/a>\r\nTuesday, July 10, 2018 | 3:45 PM-6:00 PM | K1 + K2<\/h3>\r\n

Danielle Belgrave<\/strong><\/a>, Konstantina Palla, Lamiae Azizi<\/p>"},{"id":4,"name":"Workshops","content":"

Humanizing AI\r\nSunday, July 15, 2018 | 8:30 AM\u20135:30 PM | Room T3<\/h3>\r\n

Organizers: Dr. Radhakrishnan Srikanth, Niranjan Nayak, Dr. Manoj Kumar Chinnakotla, Puneet Agrawal<\/p>\r\n\r\n

FAIM\u201918 Workshop on CausalML\r\nSunday, July 15, 2018 | 8:30 AM\u20136:00 PM | A6<\/h3>\r\n

Organizer: Adith Swaminathan<\/strong><\/a><\/p>"},{"id":5,"name":"Donate For Good","content":"

Join us in our donation #MSFTResearchGives.<\/h2>\r\n

Help us choose which organization should receive this donation by voting on our Twitter poll @MSFTResearch.<\/a><\/h3>\r\nIn lieu of purchasing thousands of giveaway items, we have decided to reduce our environmental footprint and donate to one of the following organizations:\r\n\r\n
\r\n\r\n

\"Code.org\u00ae<\/a>Code.org<\/h2>\r\nCode.org\u00ae is a non-profit dedicated to expanding access to computer science, and increasing participation by women and underrepresented minorities. Their vision is that every student in every school should have the opportunity to learn computer science, just like biology, chemistry or algebra. Code.org organizes the annual\u00a0Hour of Code<\/a>\u00a0campaign which has engaged 10% of all students in the world, and provides the leading curriculum for K-12 computer science in the largest school districts in the United States.\r\n\r\n
\r\n\r\n

\"FIRST<\/a>FIRST<\/em><\/h2>\r\nFIRST<\/i> (F<\/b>or Inspiration and R<\/b>ecognition of S<\/b>cience and T<\/b>echnology) was founded in 1989 to inspire young people's interest and participation in science and technology. Based in Manchester, NH, the 501(c)(3) not-for-profit public charity designs accessible, innovative programs that motivate young people to pursue education and career opportunities in science, technology, engineering, and math, while building self-confidence, knowledge, and life skills.\r\n\r\nFIRST<\/em> is More Than Robots<\/b>. FIRST<\/i> participation is proven to encourage students to pursue education and careers in STEM-related fields, inspire them to become leaders and innovators, and enhance their 21st century work-life skills. Read more about the Impact of FIRST<\/i>.\r\n\r\nLearn more at www.firstinspires.org<\/a>.\r\n\r\n
\r\n\r\n

\"Girls<\/a>Girls Who Code<\/h2>\r\nGirls Who Code<\/a> focuses on closing the gender gap in technology. Through the National Girls Who Code Clubs program, Girls Who Code offers a free after-school program for 6th-12th graders that provides computer science instruction along with a community of supportive peers and role models. With support from Microsoft, Girls Who Code will expand the program in cities and rural communities. The support will enable greater engagement within these communities, support of volunteer instructors, a refresh of curriculum, tools, and program evaluation as well as program enrichment opportunities, such as field trips, guest speakers, and meet-ups.\r\n\r\n
"}],"msr_startdate":"2018-07-10","msr_enddate":"2018-07-15","msr_event_time":"","msr_location":"Stockholm, Sweden","msr_event_link":"https:\/\/icml.cc\/Register\/view-registration","msr_event_recording_link":"","msr_startdate_formatted":"July 10, 2018","msr_register_text":"Watch now","msr_cta_link":"https:\/\/icml.cc\/Register\/view-registration","msr_cta_text":"Watch now","msr_cta_bi_name":"Event Register","featured_image_thumbnail":"\"Warm","event_excerpt":"Microsoft is proud to be a Platinum sponsor of the Thirty-fifth International Conference on Machine Learning (ICML) July 10, 2018 \u2013 July 15, 2018 in Stockholm, Sweden. With twenty-six accepted papers, a tutorial and two workshops, we will have over 40 representatives from Microsoft in attendance. Come by our booth to chat with our experts, see demos of our latest research and find out about career opportunities with Microsoft.","msr_research_lab":[199560,199561,199562,199563,199565,199571],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[487796,494663,629307],"related-videos":[],"related-posts":[494219,494414,494648],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/492515","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/492515\/revisions"}],"predecessor-version":[{"id":1147097,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/492515\/revisions\/1147097"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/492584"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=492515"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=492515"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=492515"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=492515"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=492515"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=492515"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=492515"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=492515"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=492515"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}