{"id":571356,"date":"2019-03-06T07:08:40","date_gmt":"2019-03-06T15:08:40","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=571356"},"modified":"2025-08-06T11:56:33","modified_gmt":"2025-08-06T18:56:33","slug":"iclr-2019","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/iclr-2019\/","title":{"rendered":"Microsoft @ ICLR 2019"},"content":{"rendered":"\n\n

Venue:<\/strong> Ernest N. Morial Convention Center (opens in new tab)<\/span><\/a><\/p>\n

Website:<\/strong> ICLR 2019 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is excited to be a diamond sponsor of the Seventh International Conference on Learning Representations (opens in new tab)<\/span><\/a> May 6\u20139, 2019, in New Orleans, Louisiana.<\/p>\n

We will have over 60 researchers present at ICLR. Stop by our booth (#205) to chat with our experts, see demos of our latest research and find out about career opportunities (opens in new tab)<\/span><\/a> with Microsoft.<\/p>\n

Microsoft Attendees<\/h3>\n

Abhishek Gupta
\nAdam Trischler<\/a>
\nAlessandro Sordoni
\nAlex Polozov<\/a>
\nAli Alvi
\nAndrey Kolobov
\nAnlei Dong
\nBardia Beigi
\nBin Dai
\nChenyan Xiong
\nChristopher Bishop<\/a>
\nDaniel McDuff<\/a>
\nDavid Wipf<\/a>
\nDebadeepta Dey
\nDevin Gunson
\nEric Yuan<\/a>
\nGanga Venkatasubramanian
\nGeoffrey Gordon<\/a>
\nGreg Yang<\/a>
\nGuoqing Zheng
\nHadi Salman
\nIgor Gitman
\nKatja Hofmann<\/a>
\nMarc Brockschmidt<\/a>
\nMikael Henaff<\/a>
\nMiltiadis Allamanis<\/a>
\nNebojsa Jojic<\/a>
\nNuo Wang Pierse
\nPatrick Fernandes
\nPatty Ryan
\nPaul Mineiro
\nPaul Smolensky
\nPhilip Bachman<\/a>
\nQi Meng
\nR Devon Hjelm
\nRadhakrishnan Srikanth
\nRangan Majumder
\nRemi Tachet des Combes
\nRick Calle
\nRoger Cheng
\nRoland Fernandez
\nSaeed Amizadeh
\nSameera Lanka
\nSamir Kumar
\nSaurabh Tiwary
\nSergiy Matusevych
\nShehzaad Dhuliawala
\nSiddharth Kumar
\nSungjin Lee
\nTao Qin<\/a>
\nTsendsuren Munkhdalai
\nUrszula Chajewska
\nVibhav Vineet
\nVincent Etter
\nXiaojian Wu
\nYale Song<\/a>
\nYi Mao
\nYihe Dong
\nYingce Xia
\nYizhe Zhang<\/p>\n

Invited Speaker<\/h3>\n

Monday, May 6, 2019 | 9:00 AM\u20139:45 AM | Great Hall AD
\nCynthia Dwork<\/a>Opens in a new tab<\/span><\/p>\n

Tuesday, May 7, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\n

Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes<\/h4>\n

Roman Novak, Lechao Xiao, Yasaman Bahri, Jaehoon Lee, Greg Yang<\/a>, Daniel Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein<\/p>\n

DPSNet: End-to-end Deep Plane Sweep Stereo<\/h4>\n

Sunghoon Im, Hae-Gon Jeon, Stephen Lin<\/a>, In Kweon<\/p>\n

Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic<\/h4>\n

Mikael Henaff<\/a>, Alfredo Canziani, Yann LeCun<\/p>\n

 <\/p>\n

Tuesday, May 7, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\n

Deep Graph Infomax<\/h4>\n

Petar Veli\u010dkovi\u0107, William Fedus, William L Hamilton, Pietro Lio, Yoshua Bengio, R Devon Hjelm<\/a><\/p>\n

Generative Code Modeling with Graphs<\/h4>\n

Marc Brockschmidt<\/a>, Miltiadis Allamanis<\/a>, Alexander Gaunt, Oleksandr Polozov<\/a><\/p>\n

Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach<\/h4>\n

Saeed Amizadeh<\/strong>, Sergiy Matusevych<\/strong>, Markus Weimer<\/a><\/p>\n

 <\/p>\n

Wednesday, May 8, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\n

An Empirical Study of Example Forgetting during Deep Neural Network Learning<\/h4>\n

Mariya Toneva, Alessandro Sordoni<\/strong>, Remi Tachet des Combes<\/strong>, Adam Trischler<\/a>, Yoshua Bengio, Geoffrey Gordon<\/a><\/p>\n

Deterministic Variational Inference for Robust Bayesian Neural Networks<\/h4>\n

Anqi Wu, Sebastian Nowozin, Ted Meeds<\/a>, Richard E Turner<\/strong>, Jos\u00e9 Miguel Hern\u00e1ndez Lobato<\/strong>, Alexander Gaunt<\/p>\n

Episodic Curiosity through Reachability<\/h4>\n

Nikolay Savinov, Anton Raichuk, Damien Vincent, Rapha\u00ebl Marinier, Marc Pollefeys<\/a>, Timothy Lillicrap, Sylvain Gelly<\/p>\n

Learning deep representations by mutual information estimation and maximization<\/h4>\n

R Devon Hjelm<\/a>, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman<\/a>, Adam Trischler<\/a>, Yoshua Bengio<\/p>\n

Learning a SAT Solver from Single-Bit Supervision<\/h4>\n

Daniel Selsam, Matthew Lamm; Benedikt Bunz, Percy Liang, Leonardo de Moura<\/strong>, David L. Dill<\/p>\n

Visceral Machines: Reinforcement Learning with Intrinsic Physiological Rewards<\/h4>\n

Daniel McDuff<\/a>, Ashish Kapoor<\/a><\/p>\n

 <\/p>\n

Wednesday, May 8, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\n

A Mean Field Theory of Batch Normalization<\/h4>\n

Greg Yang<\/a>, Jeffrey Pennington, Vinay Rao, Jascha Sohl-Dickstein, Samuel S Schoenholz<\/p>\n

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space<\/h4>\n

Qi Meng<\/strong>, Shuxin Zheng, Huishuai Zhang<\/strong>, Wei Chen<\/strong>, Qiwei Ye<\/a>, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu<\/a><\/p>\n

SGD Converges to Global Minimum in Deep Learning via Star-convex Path<\/h4>\n

Yi Zhou, Junjie Yang, Huishuai Zhang<\/strong>, Yingbin Liang, Vahid Tarokh<\/p>\n

 <\/p>\n

Thursday, May 9, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\n

Improving Sequence-to-Sequence Learning via Optimal Transport<\/h4>\n

Liqun Chen, Yizhe Zhang<\/strong>, Ruiyi Zhang, Chenyang Tao, Zhe Gan<\/strong>, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin<\/p>\n

Multi-Agent Dual Learning<\/h4>\n

Yiren Wang, Yingce Xia<\/a>, Tianyu He, Fei Tian<\/a>, Tao Qin<\/a>, ChengXiang Zhai, Tie-Yan Liu<\/a><\/p>\n

Multilingual Neural Machine Translation with Knowledge Distillation<\/h4>\n

Xu Tan<\/a>, Yi Ren, Di He<\/strong>, Tao Qin<\/a>, Zhou Zhao, Tie-Yan Liu<\/a><\/p>\n

Neural TTS Stylization with Adversarial and Collaborative Games<\/h4>\n

Shuang Ma, Daniel McDuff<\/a>, Yale Song<\/a><\/p>\n

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks<\/h4>\n

Yikang Shen, Shawn Tan, Alessandro Sordoni<\/strong>, Aaron Courville<\/p>\n

Representation Degeneration Problem in Training Natural Language Generation Models<\/h4>\n

Jun Gao, Di He<\/strong>, Xu Tan<\/a>, Tao Qin<\/a>, Liwei Wang, Tie-Yan Liu<\/a><\/p>\n

Structured Neural Summarization<\/h4>\n

Patrick Fernandes<\/strong>, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a><\/p>\n

RNNs implicitly implement tensor-product representations<\/h4>\n

Tom McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky<\/strong><\/p>\n

Learning to Represent Edits<\/h4>\n

Pengcheng Yin, Graham Neubig, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a>, Alexander Gaunt<\/p>\n

 <\/p>\n

Thursday, May 9, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\n

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension<\/h4>\n

Rajarshi Das, Tsendsuren Munkhdalai<\/a>, Eric Yuan<\/a>, Adam Trischler<\/a>, Andrew McCallum<\/p>\n

Diagnosing and Enhancing VAE Models<\/h4>\n

Bin Dai<\/strong>, David Wipf<\/a><\/p>\n

Label super-resolution networks<\/h4>\n

Nikolay Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel Saltz, Lucas Joppa<\/a>, Nebojsa Jojic<\/a><\/p>\n

 Opens in a new tab<\/span><\/p>\n

Monday, May 6, 2019 | 9:00 AM\u20139:45 AM | Great Hall AD<\/h3>\n

Invited Talk<\/h4>\n

Cynthia Dwork<\/a><\/p>\n

 <\/p>\n

Wednesday, May 8, 2019 | 9:45 AM\u201310:00 AM | Great Hall<\/h3>\n

Learning deep representations by mutual information estimation and maximization<\/h4>\n

R Devon Hjelm<\/a>, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman<\/a>, Adam Trischler<\/a>, Yoshua Bengio<\/p>\n

 <\/p>\n

Wednesday, May 8, 2019 | 10:15 AM\u201310:30 AM | Great Hall<\/h3>\n

Deterministic Variational Inference for Robust Bayesian Neural Networks<\/h4>\n

Anqi Wu, Sebastian Nowozin, Ted Meeds<\/a>, Richard E Turner, Jos\u00e9 Miguel Hern\u00e1ndez Lobato<\/strong>, Alexander Gaunt<\/p>\n

 <\/p>\n

Thursday, May 9, 2019 | 10:30 AM\u201310:45 AM | Great Hall<\/h3>\n

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks<\/h4>\n

Yikang Shen, Shawn Tan, Alessandro Sordoni<\/strong>, Aaron Courville<\/p>\n

 Opens in a new tab<\/span><\/p>\n

Debugging Machine Learning Models (opens in new tab)<\/span><\/a>
\nMonday, May 6 | 9:45 AM \u2013 6:30 PM | Room R01<\/h4>\n

Julius Adebayo, Himabindu Lakkaraju, Sarah Tan, Rich Caruana (opens in new tab)<\/span><\/a>, D. Sculley, Jacob Steinhardt<\/p>\n

AI for Social Good (opens in new tab)<\/span><\/a>
\nMonday, May 6 | 9:45 AM \u2013 6:30 PM | Room R05<\/h4>\n

Abhishek Gupta<\/strong><\/p>\n

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

Microsoft is excited to be a diamond sponsor of the Seventh International Conference on Learning Representations May 6\u20139, 2019, in New Orleans, Louisiana. We will have over 60 researchers present at ICLR. Stop by our booth (#205) 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":571890,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2019-05-06","msr_enddate":"2019-05-09","msr_location":"New Orleans, Louisiana, USA","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"https:\/\/iclr.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":[197900],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-571356","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"\n\n

Venue:<\/strong> Ernest N. Morial Convention Center (opens in new tab)<\/span><\/a><\/p>\n

Website:<\/strong> ICLR 2019 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is excited to be a diamond sponsor of the Seventh International Conference on Learning Representations<\/a> May 6\u20139, 2019, in New Orleans, Louisiana.<\/p>\n

We will have over 60 researchers present at ICLR. Stop by our booth (#205) to chat with our experts, see demos of our latest research and find out about career opportunities<\/a> with Microsoft.<\/p>\n

Microsoft Attendees<\/h3>\n

Abhishek Gupta
\nAdam Trischler<\/a>
\nAlessandro Sordoni
\nAlex Polozov<\/a>
\nAli Alvi
\nAndrey Kolobov
\nAnlei Dong
\nBardia Beigi
\nBin Dai
\nChenyan Xiong
\nChristopher Bishop<\/a>
\nDaniel McDuff<\/a>
\nDavid Wipf<\/a>
\nDebadeepta Dey
\nDevin Gunson
\nEric Yuan<\/a>
\nGanga Venkatasubramanian
\nGeoffrey Gordon<\/a>
\nGreg Yang<\/a>
\nGuoqing Zheng
\nHadi Salman
\nIgor Gitman
\nKatja Hofmann<\/a>
\nMarc Brockschmidt<\/a>
\nMikael Henaff<\/a>
\nMiltiadis Allamanis<\/a>
\nNebojsa Jojic<\/a>
\nNuo Wang Pierse
\nPatrick Fernandes
\nPatty Ryan
\nPaul Mineiro
\nPaul Smolensky
\nPhilip Bachman<\/a>
\nQi Meng
\nR Devon Hjelm
\nRadhakrishnan Srikanth
\nRangan Majumder
\nRemi Tachet des Combes
\nRick Calle
\nRoger Cheng
\nRoland Fernandez
\nSaeed Amizadeh
\nSameera Lanka
\nSamir Kumar
\nSaurabh Tiwary
\nSergiy Matusevych
\nShehzaad Dhuliawala
\nSiddharth Kumar
\nSungjin Lee
\nTao Qin<\/a>
\nTsendsuren Munkhdalai
\nUrszula Chajewska
\nVibhav Vineet
\nVincent Etter
\nXiaojian Wu
\nYale Song<\/a>
\nYi Mao
\nYihe Dong
\nYingce Xia
\nYizhe Zhang<\/p>\n

Invited Speaker<\/h3>\n

Monday, May 6, 2019 | 9:00 AM\u20139:45 AM | Great Hall AD
\nCynthia Dwork<\/a>Opens in a new tab<\/span><\/p>\n

Tuesday, May 7, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\n

Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes<\/h4>\n

Roman Novak, Lechao Xiao, Yasaman Bahri, Jaehoon Lee, Greg Yang<\/a>, Daniel Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein<\/p>\n

DPSNet: End-to-end Deep Plane Sweep Stereo<\/h4>\n

Sunghoon Im, Hae-Gon Jeon, Stephen Lin<\/a>, In Kweon<\/p>\n

Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic<\/h4>\n

Mikael Henaff<\/a>, Alfredo Canziani, Yann LeCun<\/p>\n

 <\/p>\n

Tuesday, May 7, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\n

Deep Graph Infomax<\/h4>\n

Petar Veli\u010dkovi\u0107, William Fedus, William L Hamilton, Pietro Lio, Yoshua Bengio, R Devon Hjelm<\/a><\/p>\n

Generative Code Modeling with Graphs<\/h4>\n

Marc Brockschmidt<\/a>, Miltiadis Allamanis<\/a>, Alexander Gaunt, Oleksandr Polozov<\/a><\/p>\n

Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach<\/h4>\n

Saeed Amizadeh<\/strong>, Sergiy Matusevych<\/strong>, Markus Weimer<\/a><\/p>\n

 <\/p>\n

Wednesday, May 8, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\n

An Empirical Study of Example Forgetting during Deep Neural Network Learning<\/h4>\n

Mariya Toneva, Alessandro Sordoni<\/strong>, Remi Tachet des Combes<\/strong>, Adam Trischler<\/a>, Yoshua Bengio, Geoffrey Gordon<\/a><\/p>\n

Deterministic Variational Inference for Robust Bayesian Neural Networks<\/h4>\n

Anqi Wu, Sebastian Nowozin, Ted Meeds<\/a>, Richard E Turner<\/strong>, Jos\u00e9 Miguel Hern\u00e1ndez Lobato<\/strong>, Alexander Gaunt<\/p>\n

Episodic Curiosity through Reachability<\/h4>\n

Nikolay Savinov, Anton Raichuk, Damien Vincent, Rapha\u00ebl Marinier, Marc Pollefeys<\/a>, Timothy Lillicrap, Sylvain Gelly<\/p>\n

Learning deep representations by mutual information estimation and maximization<\/h4>\n

R Devon Hjelm<\/a>, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman<\/a>, Adam Trischler<\/a>, Yoshua Bengio<\/p>\n

Learning a SAT Solver from Single-Bit Supervision<\/h4>\n

Daniel Selsam, Matthew Lamm; Benedikt Bunz, Percy Liang, Leonardo de Moura<\/strong>, David L. Dill<\/p>\n

Visceral Machines: Reinforcement Learning with Intrinsic Physiological Rewards<\/h4>\n

Daniel McDuff<\/a>, Ashish Kapoor<\/a><\/p>\n

 <\/p>\n

Wednesday, May 8, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\n

A Mean Field Theory of Batch Normalization<\/h4>\n

Greg Yang<\/a>, Jeffrey Pennington, Vinay Rao, Jascha Sohl-Dickstein, Samuel S Schoenholz<\/p>\n

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space<\/h4>\n

Qi Meng<\/strong>, Shuxin Zheng, Huishuai Zhang<\/strong>, Wei Chen<\/strong>, Qiwei Ye<\/a>, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu<\/a><\/p>\n

SGD Converges to Global Minimum in Deep Learning via Star-convex Path<\/h4>\n

Yi Zhou, Junjie Yang, Huishuai Zhang<\/strong>, Yingbin Liang, Vahid Tarokh<\/p>\n

 <\/p>\n

Thursday, May 9, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\n

Improving Sequence-to-Sequence Learning via Optimal Transport<\/h4>\n

Liqun Chen, Yizhe Zhang<\/strong>, Ruiyi Zhang, Chenyang Tao, Zhe Gan<\/strong>, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin<\/p>\n

Multi-Agent Dual Learning<\/h4>\n

Yiren Wang, Yingce Xia<\/a>, Tianyu He, Fei Tian<\/a>, Tao Qin<\/a>, ChengXiang Zhai, Tie-Yan Liu<\/a><\/p>\n

Multilingual Neural Machine Translation with Knowledge Distillation<\/h4>\n

Xu Tan<\/a>, Yi Ren, Di He<\/strong>, Tao Qin<\/a>, Zhou Zhao, Tie-Yan Liu<\/a><\/p>\n

Neural TTS Stylization with Adversarial and Collaborative Games<\/h4>\n

Shuang Ma, Daniel McDuff<\/a>, Yale Song<\/a><\/p>\n

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks<\/h4>\n

Yikang Shen, Shawn Tan, Alessandro Sordoni<\/strong>, Aaron Courville<\/p>\n

Representation Degeneration Problem in Training Natural Language Generation Models<\/h4>\n

Jun Gao, Di He<\/strong>, Xu Tan<\/a>, Tao Qin<\/a>, Liwei Wang, Tie-Yan Liu<\/a><\/p>\n

Structured Neural Summarization<\/h4>\n

Patrick Fernandes<\/strong>, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a><\/p>\n

RNNs implicitly implement tensor-product representations<\/h4>\n

Tom McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky<\/strong><\/p>\n

Learning to Represent Edits<\/h4>\n

Pengcheng Yin, Graham Neubig, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a>, Alexander Gaunt<\/p>\n

 <\/p>\n

Thursday, May 9, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\n

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension<\/h4>\n

Rajarshi Das, Tsendsuren Munkhdalai<\/a>, Eric Yuan<\/a>, Adam Trischler<\/a>, Andrew McCallum<\/p>\n

Diagnosing and Enhancing VAE Models<\/h4>\n

Bin Dai<\/strong>, David Wipf<\/a><\/p>\n

Label super-resolution networks<\/h4>\n

Nikolay Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel Saltz, Lucas Joppa<\/a>, Nebojsa Jojic<\/a><\/p>\n

 Opens in a new tab<\/span><\/p>\n

Monday, May 6, 2019 | 9:00 AM\u20139:45 AM | Great Hall AD<\/h3>\n

Invited Talk<\/h4>\n

Cynthia Dwork<\/a><\/p>\n

 <\/p>\n

Wednesday, May 8, 2019 | 9:45 AM\u201310:00 AM | Great Hall<\/h3>\n

Learning deep representations by mutual information estimation and maximization<\/h4>\n

R Devon Hjelm<\/a>, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman<\/a>, Adam Trischler<\/a>, Yoshua Bengio<\/p>\n

 <\/p>\n

Wednesday, May 8, 2019 | 10:15 AM\u201310:30 AM | Great Hall<\/h3>\n

Deterministic Variational Inference for Robust Bayesian Neural Networks<\/h4>\n

Anqi Wu, Sebastian Nowozin, Ted Meeds<\/a>, Richard E Turner, Jos\u00e9 Miguel Hern\u00e1ndez Lobato<\/strong>, Alexander Gaunt<\/p>\n

 <\/p>\n

Thursday, May 9, 2019 | 10:30 AM\u201310:45 AM | Great Hall<\/h3>\n

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks<\/h4>\n

Yikang Shen, Shawn Tan, Alessandro Sordoni<\/strong>, Aaron Courville<\/p>\n

 Opens in a new tab<\/span><\/p>\n

Debugging Machine Learning Models (opens in new tab)<\/span><\/a>
\nMonday, May 6 | 9:45 AM \u2013 6:30 PM | Room R01<\/h4>\n

Julius Adebayo, Himabindu Lakkaraju, Sarah Tan, Rich Caruana (opens in new tab)<\/span><\/a>, D. Sculley, Jacob Steinhardt<\/p>\n

AI for Social Good (opens in new tab)<\/span><\/a>
\nMonday, May 6 | 9:45 AM \u2013 6:30 PM | Room R05<\/h4>\n

Abhishek Gupta<\/strong><\/p>\n

Opens in a new tab<\/span><\/p>\n","tab-content":[{"id":0,"name":"About","content":"Microsoft is excited to be a diamond sponsor of the Seventh International Conference on Learning Representations<\/a> May 6\u20139, 2019, in New Orleans, Louisiana.\r\n\r\nWe will have over 60 researchers present at ICLR. Stop by our booth (#205) to chat with our experts, see demos of our latest research and find out about career opportunities<\/a> with Microsoft.\r\n

Microsoft Attendees<\/h3>\r\nAbhishek Gupta\r\nAdam Trischler<\/a>\r\nAlessandro Sordoni\r\nAlex Polozov<\/a>\r\nAli Alvi\r\nAndrey Kolobov\r\nAnlei Dong\r\nBardia Beigi\r\nBin Dai\r\nChenyan Xiong\r\nChristopher Bishop<\/a>\r\nDaniel McDuff<\/a>\r\nDavid Wipf<\/a>\r\nDebadeepta Dey\r\nDevin Gunson\r\nEric Yuan<\/a>\r\nGanga Venkatasubramanian\r\nGeoffrey Gordon<\/a>\r\nGreg Yang<\/a>\r\nGuoqing Zheng\r\nHadi Salman\r\nIgor Gitman\r\nKatja Hofmann<\/a>\r\nMarc Brockschmidt<\/a>\r\nMikael Henaff<\/a>\r\nMiltiadis Allamanis<\/a>\r\nNebojsa Jojic<\/a>\r\nNuo Wang Pierse\r\nPatrick Fernandes\r\nPatty Ryan\r\nPaul Mineiro\r\nPaul Smolensky\r\nPhilip Bachman<\/a>\r\nQi Meng\r\nR Devon Hjelm\r\nRadhakrishnan Srikanth\r\nRangan Majumder\r\nRemi Tachet des Combes\r\nRick Calle\r\nRoger Cheng\r\nRoland Fernandez\r\nSaeed Amizadeh\r\nSameera Lanka\r\nSamir Kumar\r\nSaurabh Tiwary\r\nSergiy Matusevych\r\nShehzaad Dhuliawala\r\nSiddharth Kumar\r\nSungjin Lee\r\nTao Qin<\/a>\r\nTsendsuren Munkhdalai\r\nUrszula Chajewska\r\nVibhav Vineet\r\nVincent Etter\r\nXiaojian Wu\r\nYale Song<\/a>\r\nYi Mao\r\nYihe Dong\r\nYingce Xia\r\nYizhe Zhang\r\n

Invited Speaker<\/h3>\r\nMonday, May 6, 2019 | 9:00 AM\u20139:45 AM | Great Hall AD\r\nCynthia Dwork<\/a>"},{"id":1,"name":"Accepted Posters","content":"

Tuesday, May 7, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\r\n

Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes<\/h4>\r\n

Roman Novak, Lechao Xiao, Yasaman Bahri, Jaehoon Lee, Greg Yang<\/a>, Daniel Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein<\/p>\r\n\r\n

DPSNet: End-to-end Deep Plane Sweep Stereo<\/h4>\r\n

Sunghoon Im, Hae-Gon Jeon, Stephen Lin<\/a>, In Kweon<\/p>\r\n\r\n

Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic<\/h4>\r\n

Mikael Henaff<\/a>, Alfredo Canziani, Yann LeCun<\/p>\r\n \r\n

Tuesday, May 7, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\r\n

Deep Graph Infomax<\/h4>\r\n

Petar Veli\u010dkovi\u0107, William Fedus, William L Hamilton, Pietro Lio, Yoshua Bengio, R Devon Hjelm<\/a><\/p>\r\n\r\n

Generative Code Modeling with Graphs<\/h4>\r\n

Marc Brockschmidt<\/a>, Miltiadis Allamanis<\/a>, Alexander Gaunt, Oleksandr Polozov<\/a><\/p>\r\n\r\n

Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach<\/h4>\r\n

Saeed Amizadeh<\/strong>, Sergiy Matusevych<\/strong>, Markus Weimer<\/a><\/p>\r\n \r\n

Wednesday, May 8, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\r\n

An Empirical Study of Example Forgetting during Deep Neural Network Learning<\/h4>\r\n

Mariya Toneva, Alessandro Sordoni<\/strong>, Remi Tachet des Combes<\/strong>, Adam Trischler<\/a>, Yoshua Bengio, Geoffrey Gordon<\/a><\/p>\r\n\r\n

Deterministic Variational Inference for Robust Bayesian Neural Networks<\/h4>\r\n

Anqi Wu, Sebastian Nowozin, Ted Meeds<\/a>, Richard E Turner<\/strong>, Jos\u00e9 Miguel Hern\u00e1ndez Lobato<\/strong>, Alexander Gaunt<\/p>\r\n\r\n

Episodic Curiosity through Reachability<\/h4>\r\n

Nikolay Savinov, Anton Raichuk, Damien Vincent, Rapha\u00ebl Marinier, Marc Pollefeys<\/a>, Timothy Lillicrap, Sylvain Gelly<\/p>\r\n\r\n

Learning deep representations by mutual information estimation and maximization<\/h4>\r\n

R Devon Hjelm<\/a>, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman<\/a>, Adam Trischler<\/a>, Yoshua Bengio<\/p>\r\n\r\n

Learning a SAT Solver from Single-Bit Supervision<\/h4>\r\n

Daniel Selsam, Matthew Lamm; Benedikt Bunz, Percy Liang, Leonardo de Moura<\/strong>, David L. Dill<\/p>\r\n\r\n

Visceral Machines: Reinforcement Learning with Intrinsic Physiological Rewards<\/h4>\r\n

Daniel McDuff<\/a>, Ashish Kapoor<\/a><\/p>\r\n \r\n

Wednesday, May 8, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\r\n

A Mean Field Theory of Batch Normalization<\/h4>\r\n

Greg Yang<\/a>, Jeffrey Pennington, Vinay Rao, Jascha Sohl-Dickstein, Samuel S Schoenholz<\/p>\r\n\r\n

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space<\/h4>\r\n

Qi Meng<\/strong>, Shuxin Zheng, Huishuai Zhang<\/strong>, Wei Chen<\/strong>, Qiwei Ye<\/a>, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu<\/a><\/p>\r\n\r\n

SGD Converges to Global Minimum in Deep Learning via Star-convex Path<\/h4>\r\n

Yi Zhou, Junjie Yang, Huishuai Zhang<\/strong>, Yingbin Liang, Vahid Tarokh<\/p>\r\n \r\n

Thursday, May 9, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\r\n

Improving Sequence-to-Sequence Learning via Optimal Transport<\/h4>\r\n

Liqun Chen, Yizhe Zhang<\/strong>, Ruiyi Zhang, Chenyang Tao, Zhe Gan<\/strong>, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin<\/p>\r\n\r\n

Multi-Agent Dual Learning<\/h4>\r\n

Yiren Wang, Yingce Xia<\/a>, Tianyu He, Fei Tian<\/a>, Tao Qin<\/a>, ChengXiang Zhai, Tie-Yan Liu<\/a><\/p>\r\n\r\n

Multilingual Neural Machine Translation with Knowledge Distillation<\/h4>\r\n

Xu Tan<\/a>, Yi Ren, Di He<\/strong>, Tao Qin<\/a>, Zhou Zhao, Tie-Yan Liu<\/a><\/p>\r\n\r\n

Neural TTS Stylization with Adversarial and Collaborative Games<\/h4>\r\n

Shuang Ma, Daniel McDuff<\/a>, Yale Song<\/a><\/p>\r\n\r\n

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks<\/h4>\r\n

Yikang Shen, Shawn Tan, Alessandro Sordoni<\/strong>, Aaron Courville<\/p>\r\n\r\n

Representation Degeneration Problem in Training Natural Language Generation Models<\/h4>\r\n

Jun Gao, Di He<\/strong>, Xu Tan<\/a>, Tao Qin<\/a>, Liwei Wang, Tie-Yan Liu<\/a><\/p>\r\n\r\n

Structured Neural Summarization<\/h4>\r\n

Patrick Fernandes<\/strong>, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a><\/p>\r\n\r\n

RNNs implicitly implement tensor-product representations<\/h4>\r\n

Tom McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky<\/strong><\/p>\r\n\r\n

Learning to Represent Edits<\/h4>\r\n

Pengcheng Yin, Graham Neubig, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a>, Alexander Gaunt<\/p>\r\n \r\n

Thursday, May 9, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\r\n

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension<\/h4>\r\n

Rajarshi Das, Tsendsuren Munkhdalai<\/a>, Eric Yuan<\/a>, Adam Trischler<\/a>, Andrew McCallum<\/p>\r\n\r\n

Diagnosing and Enhancing VAE Models<\/h4>\r\n

Bin Dai<\/strong>, David Wipf<\/a><\/p>\r\n\r\n

Label super-resolution networks<\/h4>\r\n

Nikolay Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel Saltz, Lucas Joppa<\/a>, Nebojsa Jojic<\/a><\/p>\r\n "},{"id":2,"name":"Presentations","content":"

Monday, May 6, 2019 | 9:00 AM\u20139:45 AM | Great Hall AD<\/h3>\r\n

Invited Talk<\/h4>\r\n

Cynthia Dwork<\/a><\/p>\r\n \r\n

Wednesday, May 8, 2019 | 9:45 AM\u201310:00 AM | Great Hall<\/h3>\r\n

Learning deep representations by mutual information estimation and maximization<\/h4>\r\n

R Devon Hjelm<\/a>, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman<\/a>, Adam Trischler<\/a>, Yoshua Bengio<\/p>\r\n \r\n

Wednesday, May 8, 2019 | 10:15 AM\u201310:30 AM | Great Hall<\/h3>\r\n

Deterministic Variational Inference for Robust Bayesian Neural Networks<\/h4>\r\n

Anqi Wu, Sebastian Nowozin, Ted Meeds<\/a>, Richard E Turner, Jos\u00e9 Miguel Hern\u00e1ndez Lobato<\/strong>, Alexander Gaunt<\/p>\r\n \r\n

Thursday, May 9, 2019 | 10:30 AM\u201310:45 AM | Great Hall<\/h3>\r\n

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks<\/h4>\r\n

Yikang Shen, Shawn Tan, Alessandro Sordoni<\/strong>, Aaron Courville<\/p>\r\n "},{"id":3,"name":"Workshop","content":"

Debugging Machine Learning Models<\/a>\r\nMonday, May 6 | 9:45 AM \u2013 6:30 PM | Room R01<\/h4>\r\n

Julius Adebayo, Himabindu Lakkaraju, Sarah Tan, Rich Caruana<\/a>, D. Sculley, Jacob Steinhardt<\/p>\r\n\r\n

AI for Social Good<\/a>\r\nMonday, May 6 | 9:45 AM \u2013 6:30 PM | Room R05<\/h4>\r\n

Abhishek Gupta<\/strong><\/p>"}],"msr_startdate":"2019-05-06","msr_enddate":"2019-05-09","msr_event_time":"","msr_location":"New Orleans, Louisiana, USA","msr_event_link":"https:\/\/iclr.cc\/Register\/view-registration","msr_event_recording_link":"","msr_startdate_formatted":"May 6, 2019","msr_register_text":"Watch now","msr_cta_link":"https:\/\/iclr.cc\/Register\/view-registration","msr_cta_text":"Watch now","msr_cta_bi_name":"Event Register","featured_image_thumbnail":"\"New","event_excerpt":"Microsoft is excited to be a diamond sponsor of the Seventh International Conference on Learning Representations May 6\u20139, 2019, in New Orleans, Louisiana. We will have over 60 researchers present at ICLR. Stop by our booth (#205) to chat with our experts, see demos of our latest research and find out about career opportunities with Microsoft.","msr_research_lab":[199560,199561,199565,437514],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[584533,574716,581509,580846,580858,577473,565332,589525],"related-videos":[],"related-posts":[579955,581803,582940],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/571356","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":6,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/571356\/revisions"}],"predecessor-version":[{"id":1147049,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/571356\/revisions\/1147049"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/571890"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=571356"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=571356"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=571356"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=571356"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=571356"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=571356"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=571356"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=571356"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=571356"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}