Nikos Karampatziakis

44 papers A* 10A 4B 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Active, anytime-valid risk controlling prediction sets. NeurIPS Ziyu Xu, Nikos Karampatziakis, Paul Mineiro
2024	J	`jnl`	Active, anytime-valid risk controlling prediction sets. CoRR Ziyu Xu, Nikos Karampatziakis, Paul Mineiro
2024	J	`jnl`	Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. CoRR Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin Jamieson, Simon Shaolei Du, Yelong Shen
2024	A*	`conf`	LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models. ICLR Yixiao Li, Yifan Yu, Chen Liang, Nikos Karampatziakis, Pengcheng He, Weizhu Chen, Tuo Zhao
2023	J	`jnl`	LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models. CoRR Yixiao Li, Yifan Yu, Chen Liang, Pengcheng He, Nikos Karampatziakis, Weizhu Chen, Tuo Zhao
2023	A*	`conf`	Meet in the Middle: A New Pre-training Paradigm. NeurIPS Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
2023	J	`jnl`	Meet in the Middle: A New Pre-training Paradigm. CoRR Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
2022	J	`jnl`	Anytime-valid off-policy inference for contextual bandits. CoRR Ian Waudby-Smith, Lili Wu, Aaditya Ramdas, Nikos Karampatziakis, Paul Mineiro
2021	J	`jnl`	Contextual Bandit Applications in Customer Support Bot. CoRR Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen
2021	A*	`conf`	Contextual Bandit Applications in a Customer Support Bot. KDD Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen
2021	A*	`conf`	Off-Policy Confidence Sequences. ICML Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
2021	J	`jnl`	Off-policy Confidence Sequences. CoRR Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
2020	A*	`conf`	Empirical Likelihood for Contextual Bandits. NeurIPS Nikos Karampatziakis, John Langford, Paul Mineiro
2019	A	`conf`	Active Entity Recognition in Low Resource Settings. CIKM Ning Gao, Nikos Karampatziakis, Rahul Potharaju, Silviu Cucerzan
2019	J	`jnl`	Empirical Likelihood for Contextual Bandits. CoRR Nikos Karampatziakis, John Langford, Paul Mineiro
2019	J	`jnl`	Lessons from Real-World Reinforcement Learning in a Customer Support Bot. CoRR Nikos Karampatziakis, Sebastian Kochman, Jade Huang, Paul Mineiro, Kathy Osborne, Weizhu Chen
2017	A*	`conf`	Gradient Coding: Avoiding Stragglers in Distributed Learning. ICML Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis
2017	A*	`conf`	Logarithmic Time One-Against-Some. ICML Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
2016	J	`jnl`	Active Information Acquisition. CoRR He He, Paul Mineiro, Nikos Karampatziakis
2016	J	`jnl`	Gradient Coding. CoRR Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis
2016	J	`jnl`	Log-time and Log-space Extreme Classification. CoRR Kalina Jasinska, Nikos Karampatziakis
2016	J	`jnl`	Logarithmic Time One-Against-Some. CoRR Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
2015	J	`jnl`	A Hierarchical Spectral Method for Extreme Classification. CoRR Paul Mineiro, Nikos Karampatziakis
2015	—	`conf`	Fast Label Embeddings for Extremely Large Output Spaces. ICLR (Workshop) Paul Mineiro, Nikos Karampatziakis
2015	—	`conf`	Fast Label Embeddings via Randomized Linear Algebra. ECML/PKDD (1) Paul Mineiro, Nikos Karampatziakis
2015	J	`jnl`	Multilabel Prediction via Calibration. CoRR Nikos Karampatziakis, Paul Mineiro
2014	J	`jnl`	A Randomized Algorithm for CCA. CoRR Paul Mineiro, Nikos Karampatziakis
2014	A*	`conf`	Discriminative Features via Generalized Eigenvectors. ICML Nikos Karampatziakis, Paul Mineiro
2014	J	`jnl`	Fast Label Embeddings for Extremely Large Output Spaces. CoRR Paul Mineiro, Nikos Karampatziakis
2014	A*	`conf`	Least Squares Revisited: Scalable Approaches for Multi-class Prediction. ICML Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
2014	A	`conf`	Online Discovery of Group Level Events in Time Series. SDM Xi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar
2013	J	`jnl`	Combining Structured and Unstructured Randomness in Large Scale PCA. CoRR Nikos Karampatziakis, Paul Mineiro
2013	J	`jnl`	Discriminative Features via Generalized Eigenvectors. CoRR Nikos Karampatziakis, Paul Mineiro
2013	J	`jnl`	Efficient Online Bootstrapping for Large Scale Learning. CoRR Zhen Qin, Vaclav Petricek, Nikos Karampatziakis, Lihong Li, John Langford
2013	J	`jnl`	Least Squares Revisited: Scalable Approaches for Multi-class Prediction. CoRR Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
2013	—	`conf`	Loss-Proportional Subsampling for Subsequent ERM. ICML (3) Paul Mineiro, Nikos Karampatziakis
2013	J	`jnl`	Loss-Proportional Subsampling for Subsequent ERM. CoRR Paul Mineiro, Nikos Karampatziakis
2012	B	`conf`	Using File Relationships in Malware Classification. DIMVA Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, Mady Marinescu
2011	J	`jnl`	Efficient Optimal Learning for Contextual Bandits CoRR Miroslav Dudík, Daniel J. Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang
2011	A	`conf`	Efficient Optimal Learning for Contextual Bandits. UAI Miroslav Dudík, Daniel J. Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang
2011	A	`conf`	Online Importance Weight Aware Updates. UAI Nikos Karampatziakis, John Langford
2011	J	`jnl`	Parallel Online Learning CoRR Daniel J. Hsu, Nikos Karampatziakis, John Langford, Alexander J. Smola
2010	J	`jnl`	Importance Weight Aware Gradient Updates CoRR Nikos Karampatziakis, John Langford
2010	—	`conf`	Static Analysis of Binary Executables Using Structural SVMs. NIPS Nikos Karampatziakis