Active, anytime-valid risk controlling prediction sets
Nikos Karampatziakis, Paul Mineiro
NeurIPS 2024 | October 2024
Nikos Karampatziakis
Principal Researcher
Publications
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Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Hassan Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Xihui (Eric) Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Olatunji Ruwase, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yunan Zhang, Xiren Zhou
MSR-TR-2024-12 | August 2024
Publié par Microsoft
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Yixiao Li, Yifan Yu, Chen Liang, Pengcheng He, Nikos Karampatziakis, Weizhu Chen, Tuo Zhao
ICLR 2024 | October 2023
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Meet in the Middle: A New Pre-training Paradigm
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
NeurIPS 2023 | October 2023
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Contextual Bandit Applications in a Customer Support Bot
Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Sebastian Kochman, Matthew Hall, Wei Chen
KDD 2021 | August 2021
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Off-Policy Confidence Sequences
Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
2021 International Conference on Machine Learning | July 2021
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Logarithmic Time One-Against-Some
Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
ICML 2017 | April 2019
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Least Squares Revisited: Scalable Approaches for Multi-class Prediction
Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
July 2014
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Distributed and Scalable PCA in the Cloud
Arun Kumar, Vijay Narayanan, Nikos Karampatziakis, Paul Mineiro, Markus Weimer
MSR-TR-2014-165 | January 2014
Publié par Microsoft
Apache Reef Research Paper
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Using File Relationships in Malware Classification
Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, Mady Marinescu
Proceedings of Conference on Detection of Intrusions and Malware & Vulnerability Assessment | September 2012
Proceedings of Conference on Detection of Intrusions and Malware & Vulnerability Assessment
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Efficient optimal learning for contextual bandits
Nikos Karampatziakis, John Langford, Miroslav Dudik, Lev Reyzin, Tong Zhang, Miro Dudík
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI-11) | July 2011
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Online Importance Weight Aware Updates
Nikos Karampatziakis, John Langford
June 2011
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Parallel Online Learning
Daniel Hsu, Nikos Karampatziakis, John Langford, Alex J. Smola
March 2011
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-
-
Active, anytime-valid risk controlling prediction sets
Nikos Karampatziakis, Paul Mineiro
NeurIPS 2024 | October 2024
-
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Hassan Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Xihui (Eric) Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Olatunji Ruwase, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yunan Zhang, Xiren Zhou
MSR-TR-2024-12 | August 2024
Publié par Microsoft
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Yixiao Li, Yifan Yu, Chen Liang, Pengcheng He, Nikos Karampatziakis, Weizhu Chen, Tuo Zhao
ICLR 2024 | October 2023
-
Meet in the Middle: A New Pre-training Paradigm
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
NeurIPS 2023 | October 2023
-
Contextual Bandit Applications in a Customer Support Bot
Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Sebastian Kochman, Matthew Hall, Wei Chen
KDD 2021 | August 2021
-
Off-Policy Confidence Sequences
Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
2021 International Conference on Machine Learning | July 2021
-
Logarithmic Time One-Against-Some
Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
ICML 2017 | April 2019
-
Efficient optimal learning for contextual bandits
Nikos Karampatziakis, John Langford, Miroslav Dudik, Lev Reyzin, Tong Zhang, Miro Dudík
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI-11) | July 2011
-
Online Importance Weight Aware Updates
Nikos Karampatziakis, John Langford
June 2011
-
Parallel Online Learning
Daniel Hsu, Nikos Karampatziakis, John Langford, Alex J. Smola
March 2011
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-
-
Distributed and Scalable PCA in the Cloud
Arun Kumar, Vijay Narayanan, Nikos Karampatziakis, Paul Mineiro, Markus Weimer
MSR-TR-2014-165 | January 2014
Publié par Microsoft
Apache Reef Research Paper
-
-
-
Least Squares Revisited: Scalable Approaches for Multi-class Prediction
Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
July 2014
-
-
-
Using File Relationships in Malware Classification
Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, Mady Marinescu
Proceedings of Conference on Detection of Intrusions and Malware & Vulnerability Assessment | September 2012
Proceedings of Conference on Detection of Intrusions and Malware & Vulnerability Assessment
-
-
-
Active, anytime-valid risk controlling prediction sets
Nikos Karampatziakis, Paul Mineiro
NeurIPS 2024 | October 2024
-
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Yixiao Li, Yifan Yu, Chen Liang, Pengcheng He, Nikos Karampatziakis, Weizhu Chen, Tuo Zhao
ICLR 2024 | October 2023
-
Meet in the Middle: A New Pre-training Paradigm
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
NeurIPS 2023 | October 2023
-
Contextual Bandit Applications in a Customer Support Bot
Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Sebastian Kochman, Matthew Hall, Wei Chen
KDD 2021 | August 2021
-
Off-Policy Confidence Sequences
Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
2021 International Conference on Machine Learning | July 2021
-
Logarithmic Time One-Against-Some
Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
ICML 2017 | April 2019
-
Least Squares Revisited: Scalable Approaches for Multi-class Prediction
Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
July 2014
-
Using File Relationships in Malware Classification
Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, Mady Marinescu
Proceedings of Conference on Detection of Intrusions and Malware & Vulnerability Assessment | September 2012
Proceedings of Conference on Detection of Intrusions and Malware & Vulnerability Assessment
-
Efficient optimal learning for contextual bandits
Nikos Karampatziakis, John Langford, Miroslav Dudik, Lev Reyzin, Tong Zhang, Miro Dudík
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI-11) | July 2011
-
-
-
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Hassan Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Xihui (Eric) Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Olatunji Ruwase, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yunan Zhang, Xiren Zhou
MSR-TR-2024-12 | August 2024
Publié par Microsoft
-
Distributed and Scalable PCA in the Cloud
Arun Kumar, Vijay Narayanan, Nikos Karampatziakis, Paul Mineiro, Markus Weimer
MSR-TR-2014-165 | January 2014
Publié par Microsoft
Apache Reef Research Paper
-
-
-
Online Importance Weight Aware Updates
Nikos Karampatziakis, John Langford
June 2011
-
Parallel Online Learning
Daniel Hsu, Nikos Karampatziakis, John Langford, Alex J. Smola
March 2011
-