Elad Hazan

For publications, courses, and other material, please see: https://www.ehazan.com

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Boosting Simple Learners
Noga Alon
Alon Gonen
Elad Hazan
Shay Moran
TheoretiCS (2023)
Multiclass Boosting and the Cost of Weak Learning
Elad Hazan
Indraneel Mukherjee
Nataly Brukhim
Robert Schapire
Shay Moran
Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (2021)
Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking
Alex Jiawen Yu
Anirudha Majumdar
Cyril Zhang
Daniel C. Suo
Elad Hazan
John Olof Hallman
Karan Singh
Naman Agarwal
Paula Nicoleta Gradu
Udaya Ghai
Differentiable computer vision, graphics, and physics in machine learning workshop at Neurips 2020 (2020) (to appear)
Boosting for Dynamical Systems
Elad Hazan
Naman Agarwal
Nataly Brukhim
Zhou Lu
ICML 2020 (2020)
Logarithmic Regret for Online Control
Elad Hazan
Karan Singh
Naman Agarwal
(2019)
Provably Efficient Maximum Entropy Exploration
Elad Hazan
Sham Kakade
Karan Singh
Abby Van Soest
ICML (2019)
Learning in Non-convex Games with an Optimization Oracle
Naman Agarwal
Alon Gonen
Elad Hazan
COLT (2019)
Efficient Full-Matrix Adaptive Regularization
Naman Agarwal
Brian Anderson Bullins
Xinyi Chen
Elad Hazan
Karan Singh
Cyril Zhang
Yi Zhang
ICML (2019)
Online Control with Adversarial Disturbances
Naman Agarwal
Brian Anderson Bullins
Elad Hazan
Sham Kakade
Karan Singh
ICML (2019)
Private Learning Implies Online Learning: An Efficient Reduction
Alon Gonen
Elad Hazan
Shay Moran
NeurIPS Spotlight (2019) (to appear)
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