Nikos Karampatziakis

According to our database, Nikos Karampatziakis authored at least 33 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning.

Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin G. Jamieson, Simon Shaolei Du, Yelong Shen

CoRR, 2024

Active, anytime-valid risk controlling prediction sets.

Ziyu Xu, Nikos Karampatziakis, Paul Mineiro

CoRR, 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 Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. 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, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, 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, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou

CoRR, 2024

LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models.

Yixiao Li, Yifan Yu, Chen Liang, Nikos Karampatziakis, Pengcheng He, Weizhu Chen, Tuo Zhao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Meet in the Middle: A New Pre-training Paradigm.

Anh Nguyen, Nikos Karampatziakis, Weizhu Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Anytime-valid off-policy inference for contextual bandits.

Ian Waudby-Smith, Lili Wu, Aaditya Ramdas, Nikos Karampatziakis, Paul Mineiro

CoRR, 2022

2021

Contextual Bandit Applications in a Customer Support Bot.

Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Off-Policy Confidence Sequences.

Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Empirical Likelihood for Contextual Bandits.

Nikos Karampatziakis, John Langford, Paul Mineiro

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Lessons from Real-World Reinforcement Learning in a Customer Support Bot.

Nikos Karampatziakis, Sebastian Kochman, Jade Huang, Paul Mineiro, Kathy Osborne, Weizhu Chen

CoRR, 2019

Active Entity Recognition in Low Resource Settings.

Ning Gao, Nikos Karampatziakis, Rahul Potharaju, Silviu Cucerzan

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017

Gradient Coding: Avoiding Stragglers in Distributed Learning.

Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis

Proceedings of the 34th International Conference on Machine Learning, 2017

Logarithmic Time One-Against-Some.

Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Gradient Coding.

Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis

CoRR, 2016

Log-time and Log-space Extreme Classification.

Kalina Jasinska, Nikos Karampatziakis

CoRR, 2016

Active Information Acquisition.

He He, Paul Mineiro, Nikos Karampatziakis

CoRR, 2016

2015

A Hierarchical Spectral Method for Extreme Classification.

Paul Mineiro, Nikos Karampatziakis

CoRR, 2015

Fast Label Embeddings for Extremely Large Output Spaces.

Paul Mineiro, Nikos Karampatziakis

Proceedings of the 3rd International Conference on Learning Representations, 2015

Multilabel Prediction via Calibration.

Nikos Karampatziakis, Paul Mineiro

CoRR, 2015

Fast Label Embeddings via Randomized Linear Algebra.

Paul Mineiro, Nikos Karampatziakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

A Randomized Algorithm for CCA.

Paul Mineiro, Nikos Karampatziakis

CoRR, 2014

Online Discovery of Group Level Events in Time Series.

Xi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Discriminative Features via Generalized Eigenvectors.

Nikos Karampatziakis, Paul Mineiro

Proceedings of the 31th International Conference on Machine Learning, 2014

Least Squares Revisited: Scalable Approaches for Multi-class Prediction.

Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Efficient Online Bootstrapping for Large Scale Learning.

Zhen Qin, Vaclav Petricek, Nikos Karampatziakis, Lihong Li, John Langford

CoRR, 2013

Combining Structured and Unstructured Randomness in Large Scale PCA.

Nikos Karampatziakis, Paul Mineiro

CoRR, 2013

Loss-Proportional Subsampling for Subsequent ERM.

Paul Mineiro, Nikos Karampatziakis

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Using File Relationships in Malware Classification.

Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, Mady Marinescu

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2012

2011

Parallel Online Learning

Daniel J. Hsu, Nikos Karampatziakis, John Langford, Alexander J. Smola

CoRR, 2011

Online Importance Weight Aware Updates.

Nikos Karampatziakis, John Langford

Proceedings of the UAI 2011, 2011

Efficient Optimal Learning for Contextual Bandits.

Miroslav Dudík, Daniel J. Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang

Proceedings of the UAI 2011, 2011

2010

Importance Weight Aware Gradient Updates

Nikos Karampatziakis, John Langford

CoRR, 2010

Static Analysis of Binary Executables Using Structural SVMs.

Nikos Karampatziakis

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010