Nikos Karampatziakis

Principal Researcher

出版物

表示方法:

- Active, anytime-valid risk controlling prediction sets
  
  Nikos Karampatziakis, Paul Mineiro
  
  NeurIPS 2024 | October 2024
  
  Publication
- 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
  
  Microsoft による投稿
  
  Publication 動画アクセスプロジェクト
- 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
  
  DOI PDF
- Meet in the Middle: A New Pre-training Paradigm
  
  Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
  
  NeurIPS 2023 | October 2023
  
  Publication
- Contextual Bandit Applications in a Customer Support Bot
  
  Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Sebastian Kochman, Matthew Hall, Wei Chen
  
  KDD 2021 | August 2021
  
  Publication Publication
- Off-Policy Confidence Sequences
  
  Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication Publication
- Logarithmic Time One-Against-Some
  
  Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
  
  ICML 2017 | April 2019
  
  Publication
- Least Squares Revisited: Scalable Approaches for Multi-class Prediction
  
  Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
  
  July 2014
  
  公開日公開日
- Distributed and Scalable PCA in the Cloud
  
  Arun Kumar, Vijay Narayanan, Nikos Karampatziakis, Paul Mineiro, Markus Weimer
  
  MSR-TR-2014-165 | January 2014
  
  Microsoft による投稿
  
  Apache Reef Research Paper
  
  PDF
- 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
  
  公開日プロジェクト
- 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
  
  Publication プロジェクト
- Online Importance Weight Aware Updates
  
  Nikos Karampatziakis, John Langford
  
  June 2011
  
  Publication
- Parallel Online Learning
  
  Daniel Hsu, Nikos Karampatziakis, John Langford, Alex J. Smola
  
  March 2011
  
  Publication

- Active, anytime-valid risk controlling prediction sets
  
  Nikos Karampatziakis, Paul Mineiro
  
  NeurIPS 2024 | October 2024
  
  Publication
- 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
  
  Microsoft による投稿
  
  Publication 動画アクセスプロジェクト
- 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
  
  DOI PDF
- Meet in the Middle: A New Pre-training Paradigm
  
  Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
  
  NeurIPS 2023 | October 2023
  
  Publication
- Contextual Bandit Applications in a Customer Support Bot
  
  Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Sebastian Kochman, Matthew Hall, Wei Chen
  
  KDD 2021 | August 2021
  
  Publication Publication
- Off-Policy Confidence Sequences
  
  Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication Publication
- Logarithmic Time One-Against-Some
  
  Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
  
  ICML 2017 | April 2019
  
  Publication
- 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
  
  Publication プロジェクト
- Online Importance Weight Aware Updates
  
  Nikos Karampatziakis, John Langford
  
  June 2011
  
  Publication
- Parallel Online Learning
  
  Daniel Hsu, Nikos Karampatziakis, John Langford, Alex J. Smola
  
  March 2011
  
  Publication
- Distributed and Scalable PCA in the Cloud
  
  Arun Kumar, Vijay Narayanan, Nikos Karampatziakis, Paul Mineiro, Markus Weimer
  
  MSR-TR-2014-165 | January 2014
  
  Microsoft による投稿
  
  Apache Reef Research Paper
  
  PDF
- Least Squares Revisited: Scalable Approaches for Multi-class Prediction
  
  Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
  
  July 2014
  
  公開日公開日
- 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
  
  公開日プロジェクト

- Active, anytime-valid risk controlling prediction sets
  
  Nikos Karampatziakis, Paul Mineiro
  
  NeurIPS 2024 | October 2024
  
  Publication
- 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
  
  DOI PDF
- Meet in the Middle: A New Pre-training Paradigm
  
  Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
  
  NeurIPS 2023 | October 2023
  
  Publication
- Contextual Bandit Applications in a Customer Support Bot
  
  Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Sebastian Kochman, Matthew Hall, Wei Chen
  
  KDD 2021 | August 2021
  
  Publication Publication
- Off-Policy Confidence Sequences
  
  Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication Publication
- Logarithmic Time One-Against-Some
  
  Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
  
  ICML 2017 | April 2019
  
  Publication
- Least Squares Revisited: Scalable Approaches for Multi-class Prediction
  
  Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
  
  July 2014
  
  公開日公開日
- 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
  
  公開日プロジェクト
- 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
  
  Publication プロジェクト
- 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
  
  Microsoft による投稿
  
  Publication 動画アクセスプロジェクト
- Distributed and Scalable PCA in the Cloud
  
  Arun Kumar, Vijay Narayanan, Nikos Karampatziakis, Paul Mineiro, Markus Weimer
  
  MSR-TR-2014-165 | January 2014
  
  Microsoft による投稿
  
  Apache Reef Research Paper
  
  PDF
- Online Importance Weight Aware Updates
  
  Nikos Karampatziakis, John Langford
  
  June 2011
  
  Publication
- Parallel Online Learning
  
  Daniel Hsu, Nikos Karampatziakis, John Langford, Alex J. Smola
  
  March 2011
  
  Publication

Nikos Karampatziakis

出版物

Active, anytime-valid risk controlling prediction sets

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Meet in the Middle: A New Pre-training Paradigm

Contextual Bandit Applications in a Customer Support Bot

Off-Policy Confidence Sequences

Logarithmic Time One-Against-Some

Least Squares Revisited: Scalable Approaches for Multi-class Prediction

Distributed and Scalable PCA in the Cloud

Using File Relationships in Malware Classification

Efficient optimal learning for contextual bandits

Online Importance Weight Aware Updates

Parallel Online Learning

Active, anytime-valid risk controlling prediction sets

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Meet in the Middle: A New Pre-training Paradigm

Contextual Bandit Applications in a Customer Support Bot

Off-Policy Confidence Sequences

Logarithmic Time One-Against-Some

Efficient optimal learning for contextual bandits

Online Importance Weight Aware Updates

Parallel Online Learning

Distributed and Scalable PCA in the Cloud

Least Squares Revisited: Scalable Approaches for Multi-class Prediction

Using File Relationships in Malware Classification

Active, anytime-valid risk controlling prediction sets

LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Meet in the Middle: A New Pre-training Paradigm

Contextual Bandit Applications in a Customer Support Bot

Off-Policy Confidence Sequences

Logarithmic Time One-Against-Some

Least Squares Revisited: Scalable Approaches for Multi-class Prediction

Using File Relationships in Malware Classification

Efficient optimal learning for contextual bandits

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Distributed and Scalable PCA in the Cloud

Online Importance Weight Aware Updates

Parallel Online Learning