Elad Hazan

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 145

Top Venues

Publications

Arun Sai Suggala, Y. Jennifer Sun, Praneeth Netrapalli, Elad Hazan
Second Order Methods for Bandit Optimization and Control. COLT (2024)
Wenhan Xia, Chengwei Qin, Elad Hazan
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning. CoRR (2024)
Xinyi Chen, Elad Hazan
Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization. COLT (2024)
Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David P. Woodruff, Elad Hazan
Adaptive Regret for Bandits Made Possible: Two Queries Suffice. ICLR (2024)
Noah Golowich, Elad Hazan, Zhou Lu, Dhruv Rohatgi, Y. Jennifer Sun
Online Control in Population Dynamics. CoRR (2024)
Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David P. Woodruff, Elad Hazan
Adaptive Regret for Bandits Made Possible: Two Queries Suffice. CoRR (2024)
Arun Sai Suggala, Y. Jennifer Sun, Praneeth Netrapalli, Elad Hazan
Second Order Methods for Bandit Optimization and Control. CoRR (2024)
Paula Gradu, Elad Hazan, Edgar Minasyan
Adaptive Regret for Control of Time-Varying Dynamics. L4DC (2023)
Xinyi Chen, Angelica Chen, Dean Foster, Elad Hazan
AI safety by debate via regret minimization. CoRR (2023)
Xinyi Chen, Edgar Minasyan, Jason D. Lee, Elad Hazan
Regret Guarantees for Online Deep Control. L4DC (2023)
Zhou Lu, Nataly Brukhim, Paula Gradu, Elad Hazan
Projection-free Adaptive Regret with Membership Oracles. ALT (2023)
Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan
Online Nonstochastic Model-Free Reinforcement Learning. CoRR (2023)
Y. Jennifer Sun, Stephen Newman, Elad Hazan
Optimal Rates for Bandit Nonstochastic Control. CoRR (2023)
David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
Online Learning for Obstacle Avoidance. CoRR (2023)
Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions. CoRR (2023)
Elad Hazan, Nimrod Megiddo
An Efficient Interior-Point Method for Online Convex Optimization. CoRR (2023)
Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan
Online Nonstochastic Model-Free Reinforcement Learning. NeurIPS (2023)
Xinyi Chen, Elad Hazan
A Nonstochastic Control Approach to Optimization. CoRR (2023)
Xinyi Chen, Elad Hazan
Online Control for Meta-optimization. NeurIPS (2023)
Noga Alon, Alon Gonen, Elad Hazan, Shay Moran
Boosting Simple Learners. TheoretiCS 2 (2023)
Y. Jennifer Sun, Stephen H. Newman, Elad Hazan
Optimal Rates for Bandit Nonstochastic Control. NeurIPS (2023)
Gautam Goel, Naman Agarwal, Karan Singh, Elad Hazan
Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret. L4DC (2023)
Elad Hazan, Adam Tauman Kalai, Varun Kanade, Clara Mohri, Y. Jennifer Sun
Partial Matrix Completion. NeurIPS (2023)
Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions. NeurIPS (2023)
Naman Agarwal, Daniel Suo, Xinyi Chen, Elad Hazan
Spectral State Space Models. CoRR (2023)
David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
Online Learning for Obstacle Avoidance. CoRL (2023)
Edgar Minasyan, Paula Gradu, Max Simchowitz, Elad Hazan
Online Control of Unknown Time-Varying Dynamical Systems. CoRR (2022)
Zhou Lu, Nataly Brukhim, Paula Gradu, Elad Hazan
Projection-free Adaptive Regret with Membership Oracles. CoRR (2022)
Varun Kanade, Elad Hazan, Adam Tauman Kalai
Partial Matrix Completion. CoRR (2022)
Elad Hazan, Karan Singh
Introduction to Online Nonstochastic Control. CoRR (2022)
Xinyi Chen, Elad Hazan, Tongyang Li, Zhou Lu, Xinzhao Wang, Rui Yang
Adaptive Online Learning of Quantum States. CoRR (2022)
Udaya Ghai, Udari Madhushani, Naomi Ehrich Leonard, Elad Hazan
A Regret Minimization Approach to Multi-Agent Contro. CoRR (2022)
Nataly Brukhim, Elad Hazan, Karan Singh
A Boosting Approach to Reinforcement Learning. NeurIPS (2022)
Zhou Lu, Wenhan Xia, Sanjeev Arora, Elad Hazan
Adaptive Gradient Methods with Local Guarantees. CoRR (2022)
Udaya Ghai, Xinyi Chen, Elad Hazan, Alexandre Megretski
Robust Online Control with Model Misspecification. L4DC (2022)
Udaya Ghai, Udari Madhushani, Naomi Ehrich Leonard, Elad Hazan
A Regret Minimization Approach to Multi-Agent Control. ICML (2022)
Udaya Ghai, Zhou Lu, Elad Hazan
Non-convex online learning via algorithmic equivalence. CoRR (2022)
Gautam Goel, Naman Agarwal, Karan Singh, Elad Hazan
Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret. CoRR (2022)
Udaya Ghai, Zhou Lu, Elad Hazan
Non-convex online learning via algorithmic equivalence. NeurIPS (2022)
Zhou Lu, Elad Hazan
Efficient Adaptive Regret Minimization. CoRR (2022)
Naman Agarwal, Elad Hazan, Anirudha Majumdar, Karan Singh
A Regret Minimization Approach to Iterative Learning Control. CoRR (2021)
Xinyi Chen, Elad Hazan
Black-Box Control for Linear Dynamical Systems. COLT (2021)
Edgar Minasyan, Paula Gradu, Max Simchowitz, Elad Hazan
Online Control of Unknown Time-Varying Dynamical Systems. NeurIPS (2021)
Xinyi Chen, Edgar Minasyan, Jason D. Lee, Elad Hazan
Provable Regret Bounds for Deep Online Learning and Control. CoRR (2021)
Udaya Ghai, David Snyder, Anirudha Majumdar, Elad Hazan
Generating Adversarial Disturbances for Controller Verification. L4DC (2021)
Naman Agarwal, Elad Hazan, Anirudha Majumdar, Karan Singh
A Regret Minimization Approach to Iterative Learning Control. ICML (2021)
Nataly Brukhim, Elad Hazan, Shay Moran, Indraneel Mukherjee, Robert E. Schapire
Multiclass Boosting and the Cost of Weak Learning. NeurIPS (2021)
Elad Hazan, Karan Singh
Boosting for Online Convex Optimization. CoRR (2021)
Elad Hazan, Karan Singh
Boosting for Online Convex Optimization. ICML (2021)
Xinyi Chen, Udaya Ghai, Elad Hazan, Alexandre Megretski
Robust Online Control with Model Misspecification. CoRR (2021)
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan
Machine Learning for Mechanical Ventilation Control. CoRR (2021)
Paula Gradu, John Hallman, Daniel Suo, Alex Yu, Naman Agarwal, Udaya Ghai, Karan Singh, Cyril Zhang, Anirudha Majumdar, Elad Hazan
Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking. CoRR (2021)
Nataly Brukhim, Elad Hazan, Karan Singh
A Boosting Approach to Reinforcement Learning. CoRR (2021)
Nataly Brukhim, Elad Hazan
Online Boosting with Bandit Feedback. ALT (2021)
Noga Alon, Alon Gonen, Elad Hazan, Shay Moran
Boosting simple learners. STOC (2021)
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan
Machine Learning for Mechanical Ventilation Control (Extended Abstract). CoRR (2021)
Elad Hazan, Edgar Minasyan
Faster Projection-free Online Learning. COLT (2020)
Nataly Brukhim, Elad Hazan
Online Boosting with Bandit Feedback. CoRR (2020)
Max Simchowitz, Karan Singh, Elad Hazan
Improper Learning for Non-Stochastic Control. COLT (2020)
Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran
Online Agnostic Boosting via Regret Minimization. NeurIPS (2020)
Paula Gradu, John Hallman, Elad Hazan
Non-Stochastic Control with Bandit Feedback. NeurIPS (2020)
Udaya Ghai, Elad Hazan, Yoram Singer
Exponentiated Gradient Meets Gradient Descent. ALT (2020)
Elad Hazan, Edgar Minasyan
Faster Projection-free Online Learning. CoRR (2020)
Orestis Plevrakis, Elad Hazan
Geometric Exploration for Online Control. NeurIPS (2020)
Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran
Online Agnostic Boosting via Regret Minimization. CoRR (2020)
Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu
Boosting for Control of Dynamical Systems. ICML (2020)
Orestis Plevrakis, Elad Hazan
Geometric Exploration for Online Control. CoRR (2020)
Noga Alon, Alon Gonen, Elad Hazan, Shay Moran
Boosting Simple Learners. CoRR (2020)
Xinyi Chen, Elad Hazan
Black-Box Control for Linear Dynamical Systems. CoRR (2020)
Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang
Extreme Tensoring for Low-Memory Preconditioning. ICLR (2020)
Naman Agarwal, Rohan Anil, Elad Hazan, Tomer Koren, Cyril Zhang
Disentangling Adaptive Gradient Methods from Learning Rates. CoRR (2020)
Max Simchowitz, Karan Singh, Elad Hazan
Improper Learning for Non-Stochastic Control. CoRR (2020)
Mark Braverman, Elad Hazan, Max Simchowitz, Blake E. Woodworth
The Gradient Complexity of Linear Regression. COLT (2020)
Udaya Ghai, David Snyder, Anirudha Majumdar, Elad Hazan
Generating Adversarial Disturbances for Controller Verification. CoRR (2020)
Paula Gradu, John Hallman, Elad Hazan
Non-Stochastic Control with Bandit Feedback. CoRR (2020)
Elad Hazan, Sham M. Kakade, Karan Singh
The Nonstochastic Control Problem. ALT (2020)
Paula Gradu, Elad Hazan, Edgar Minasyan
Adaptive Regret for Control of Time-Varying Dynamics. CoRR (2020)
Elad Hazan, Sham M. Kakade, Karan Singh, Abby Van Soest
Provably Efficient Maximum Entropy Exploration. ICML (2019)
Naman Agarwal, Elad Hazan, Karan Singh
Logarithmic Regret for Online Control. CoRR (2019)
Naman Agarwal, Alon Gonen, Elad Hazan
Learning in Non-convex Games with an Optimization Oracle. COLT (2019)
Naman Agarwal, Elad Hazan, Karan Singh
Logarithmic Regret for Online Control. NeurIPS (2019)
Brian Bullins, Elad Hazan, Adam Kalai, Roi Livni
Generalize Across Tasks: Efficient Algorithms for Linear Representation Learning. ALT (2019)
Elad Hazan, Sham M. Kakade, Karan Singh
The Nonstochastic Control Problem. CoRR (2019)
Naman Agarwal, Brian Bullins, Elad Hazan, Sham M. Kakade, Karan Singh
Online Control with Adversarial Disturbances. CoRR (2019)
Elad Hazan
Lecture Notes: Optimization for Machine Learning. CoRR (2019)
Elad Hazan
Introduction to Online Convex Optimization. CoRR (2019)
Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu
Boosting for Dynamical Systems. CoRR (2019)
Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang
Efficient Full-Matrix Adaptive Regularization. ICML (2019)
Mark Braverman, Elad Hazan, Max Simchowitz, Blake E. Woodworth
The gradient complexity of linear regression. CoRR (2019)
Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang
Extreme Tensoring for Low-Memory Preconditioning. CoRR (2019)
Alon Gonen, Elad Hazan, Shay Moran
Private Learning Implies Online Learning: An Efficient Reduction. CoRR (2019)
Alon Gonen, Elad Hazan, Shay Moran
Private Learning Implies Online Learning: An Efficient Reduction. NeurIPS (2019)
Udaya Ghai, Elad Hazan, Yoram Singer
Exponentiated Gradient Meets Gradient Descent. CoRR (2019)
Naman Agarwal, Brian Bullins, Elad Hazan, Sham M. Kakade, Karan Singh
Online Control with Adversarial Disturbances. ICML (2019)
Elad Hazan, Roi Livni
Open problem: Improper learning of mixtures of Gaussians. COLT (2018)
Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang
Spectral Filtering for General Linear Dynamical Systems. CoRR (2018)
Elad Hazan, Wei Hu, Yuanzhi Li, Zhiyuan Li
Online Improper Learning with an Approximation Oracle. CoRR (2018)
Naman Agarwal, Elad Hazan
Lower Bounds for Higher-Order Convex Optimization. COLT (2018)
Sanjeev Arora, Nadav Cohen, Elad Hazan
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization. ICML (2018)
Scott Aaronson, Xinyi Chen, Elad Hazan, Ashwin Nayak
Online Learning of Quantum States. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Elad Hazan