| 2025 | ICML | Provable Length Generalization in Sequence Prediction via Spectral Filtering. | Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan |
| 2024 | COLT | Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization. | Xinyi Chen, Elad Hazan |
| 2024 | COLT | Second Order Methods for Bandit Optimization and Control. | Arun Suggala, Y. Jennifer Sun, Praneeth Netrapalli, Elad Hazan |
| 2024 | ICLR | Adaptive Regret for Bandits Made Possible: Two Queries Suffice. | Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David P. Woodruff, Elad Hazan |
| 2023 | ALT | Projection-free Adaptive Regret with Membership Oracles. | Zhou Lu, Nataly Brukhim, Paula Gradu, Elad Hazan |
| 2023 | CoRL | Online Learning for Obstacle Avoidance. | David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar |
| 2022 | ICML | A Regret Minimization Approach to Multi-Agent Control. | Udaya Ghai, Udari Madhushani, Naomi Ehrich Leonard, Elad Hazan |
| 2021 | ALT | Online Boosting with Bandit Feedback. | Nataly Brukhim, Elad Hazan |
| 2021 | COLT | Black-Box Control for Linear Dynamical Systems. | Xinyi Chen, Elad Hazan |
| 2021 | ICML | A Regret Minimization Approach to Iterative Learning Control. | Naman Agarwal, Elad Hazan, Anirudha Majumdar, Karan Singh |
| 2021 | ICML | Boosting for Online Convex Optimization. | Elad Hazan, Karan Singh |
| 2021 | STOC | Boosting simple learners. | Noga Alon, Alon Gonen, Elad Hazan, Shay Moran |
| 2020 | ALT | Exponentiated Gradient Meets Gradient Descent. | Udaya Ghai, Elad Hazan, Yoram Singer |
| 2020 | ALT | The Nonstochastic Control Problem. | Elad Hazan, Sham M. Kakade, Karan Singh |
| 2020 | COLT | The Gradient Complexity of Linear Regression. | Mark Braverman, Elad Hazan, Max Simchowitz, Blake E. Woodworth |
| 2020 | COLT | Faster Projection-free Online Learning. | Elad Hazan, Edgar Minasyan |
| 2020 | COLT | Improper Learning for Non-Stochastic Control. | Max Simchowitz, Karan Singh, Elad Hazan |
| 2020 | ICLR | Extreme Tensoring for Low-Memory Preconditioning. | Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang |
| 2020 | ICML | Boosting for Control of Dynamical Systems. | Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu |
| 2019 | ALT | Generalize Across Tasks: Efficient Algorithms for Linear Representation Learning. | Brian Bullins, Elad Hazan, Adam Kalai, Roi Livni |
| 2019 | COLT | Learning in Non-convex Games with an Optimization Oracle. | Naman Agarwal, Alon Gonen, Elad Hazan |
| 2019 | ICML | Efficient Full-Matrix Adaptive Regularization. | Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang |
| 2019 | ICML | Online Control with Adversarial Disturbances. | Naman Agarwal, Brian Bullins, Elad Hazan, Sham M. Kakade, Karan Singh |
| 2019 | ICML | Provably Efficient Maximum Entropy Exploration. | Elad Hazan, Sham M. Kakade, Karan Singh, Abby Van Soest |
| 2018 | COLT | Lower Bounds for Higher-Order Convex Optimization. | Naman Agarwal, Elad Hazan |
| 2018 | COLT | Open problem: Improper learning of mixtures of Gaussians. | Elad Hazan, Roi Livni |
| 2018 | ICLR | Towards Provable Control for Unknown Linear Dynamical Systems. | Sanjeev Arora, Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang |
| 2018 | ICLR | Hyperparameter optimization: a spectral approach. | Elad Hazan, Adam R. Klivans, Yang Yuan |
| 2018 | ICML | On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization. | Sanjeev Arora, Nadav Cohen, Elad Hazan |
| 2017 | ICML | Efficient Regret Minimization in Non-Convex Games. | Elad Hazan, Karan Singh, Cyril Zhang |
| 2017 | STOC | Finding approximate local minima faster than gradient descent. | Naman Agarwal, Zeyuan Allen Zhu, Brian Bullins, Elad Hazan, Tengyu Ma |
| 2016 | COLT | Online Learning with Low Rank Experts. | Elad Hazan, Tomer Koren, Roi Livni, Yishay Mansour |
| 2016 | ICML | Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier. | Jacob D. Abernethy, Elad Hazan |
| 2016 | ICML | Faster Eigenvector Computation via Shift-and-Invert Preconditioning. | Dan Garber, Elad Hazan, Chi Jin, Sham M. Kakade, Cameron Musco, Praneeth Netrapalli, Aaron Sidford |
| 2016 | ICML | Variance-Reduced and Projection-Free Stochastic Optimization. | Elad Hazan, Haipeng Luo |
| 2016 | ICML | On Graduated Optimization for Stochastic Non-Convex Problems. | Elad Hazan, Kfir Yehuda Levy, Shai Shalev-Shwartz |
| 2016 | ICML | Variance Reduction for Faster Non-Convex Optimization. | Zeyuan Allen Zhu, Elad Hazan |
| 2016 | STOC | The computational power of optimization in online learning. | Elad Hazan, Tomer Koren |
| 2015 | COLT | Conference on Learning Theory 2015: Preface. | Peter Grnwald, Elad Hazan |
| 2015 | ICML | Online Time Series Prediction with Missing Data. | Oren Anava, Elad Hazan, Assaf Zeevi |
| 2015 | ICML | Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets. | Dan Garber, Elad Hazan |
| 2015 | ICML | Online Learning of Eigenvectors. | Dan Garber, Elad Hazan, Tengyu Ma |
| 2015 | ICML | Classification with Low Rank and Missing Data. | Elad Hazan, Roi Livni, Yishay Mansour |
| 2014 | COLT | Logistic Regression: Tight Bounds for Stochastic and Online Optimization. | Elad Hazan, Tomer Koren, Kfir Y. Levy |
| 2014 | COLT | Volumetric Spanners: an Efficient Exploration Basis for Learning. | Elad Hazan, Zohar Shay Karnin, Raghu Meka |
| 2014 | ICML | Hard-Margin Active Linear Regression. | Zohar Shay Karnin, Elad Hazan |
| 2013 | COLT | Online Learning for Time Series Prediction. | Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir |
| 2013 | FOCS | Playing Non-linear Games with Linear Oracles. | Dan Garber, Elad Hazan |
| 2013 | ICML | Better Rates for Any Adversarial Deterministic MDP. | Ofer Dekel, Elad Hazan |
| 2012 | ICML | Projection-free Online Learning. | Elad Hazan, Satyen Kale |
| 2012 | ICML | Linear Regression with Limited Observation. | Elad Hazan, Tomer Koren |
| 2010 | COLT | Adaptive Subgradient Methods for Online Learning and Stochastic Optimization. | John C. Duchi, Elad Hazan, Yoram Singer |
| 2010 | COLT | Learning Rotations with Little Regret. | Elad Hazan, Satyen Kale, Manfred K. Warmuth |
| 2010 | COLT | On-line Variance Minimization in O(n2) per Trial? | Elad Hazan, Satyen Kale, Manfred K. Warmuth |
| 2010 | FOCS | Sublinear Optimization for Machine Learning. | Kenneth L. Clarkson, Elad Hazan, David P. Woodruff |
| 2009 | ICML | Efficient learning algorithms for changing environments. | Elad Hazan, C. Seshadhri |
| 2009 | SODA | Better algorithms for benign bandits. | Elad Hazan, Satyen Kale |
| 2009 | SODA | How hard is it to approximate the best Nash equilibrium? | Elad Hazan, Robert Krauthgamer |
| 2008 | COLT | Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization. | Jacob D. Abernethy, Elad Hazan, Alexander Rakhlin |
| 2008 | COLT | Extracting Certainty from Uncertainty: Regret Bounded by Variation in Costs. | Elad Hazan, Satyen Kale |
| 2008 | LATIN | Sparse Approximate Solutions to Semidefinite Programs. | Elad Hazan |
| 2007 | COLT | Online Learning with Prior Knowledge. | Elad Hazan, Nimrod Megiddo |
| 2006 | COLT | Logarithmic Regret Algorithms for Online Convex Optimization. | Elad Hazan, Adam Kalai, Satyen Kale, Amit Agarwal |
| 2006 | ICML | Algorithms for portfolio management based on the Newton method. | Amit Agarwal, Elad Hazan, Satyen Kale, Robert E. Schapire |
| 2005 | FOCS | On Non-Approximability for Quadratic Programs. | Sanjeev Arora, Eli Berger, Elad Hazan, Guy Kindler, Muli Safra |
| 2005 | FOCS | Fast Algorithms for Approximate Semide.nite Programming using the Multiplicative Weights Update Method. | Sanjeev Arora, Elad Hazan, Satyen Kale |
| 2005 | RECOMB | HAPLOFREQ - Estimating Haplotype Frequencies E.ciently. | Eran Halperin, Elad Hazan |
| 2004 | FOCS | 0(sqrt (log n)) Approximation to SPARSEST CUT in (n | Sanjeev Arora, Elad Hazan, Satyen Kale |