Benign Overfitting of Constant-Stepsize SGD for Linear Regression
Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham Kakade
2021 Conference on Learning Theory | July 2021
Publications
The following papers have been accepted to COLT 2021:
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Kernel Thinning
Raaz Dwivedi, Lester Mackey
COLT 2021 | May 2021
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Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation.
Andrea Zanette, Ching-An Cheng, Alekh Agarwal
COLT | March 2021
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Towards a Dimension-Free Understanding of Adaptive Linear Control
Juan C. Perdomo, Max Simchowitz, Alekh Agarwal, Peter L. Bartlett
COLT 2021 | March 2021
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Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions
Sébastien Bubeck, Thomas Budzinski, Mark Sellke
COLT 2021 | November 2020
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Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Matthew Brennan, Guy Bresler, Samuel B. Hopkins, Jerry Li, Tselil Schramm
COLT 2021 | September 2020
Best Paper Runner Up
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Adaptive Discretization for Adversarial Lipschitz Bandits
Chara Podimata, Aleksandrs Slivkins
COLT 2021 | June 2020
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Corruption Robust Exploration in Episodic Reinforcement Learning
Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
COLT 2021 | November 2019
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Benign Overfitting of Constant-Stepsize SGD for Linear Regression
Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham Kakade
2021 Conference on Learning Theory | July 2021
-
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Matthew Brennan, Guy Bresler, Samuel B. Hopkins, Jerry Li, Tselil Schramm
COLT 2021 | September 2020
Best Paper Runner Up
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-
Benign Overfitting of Constant-Stepsize SGD for Linear Regression
Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham Kakade
2021 Conference on Learning Theory | July 2021
-
Kernel Thinning
Raaz Dwivedi, Lester Mackey
COLT 2021 | May 2021
-
Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation.
Andrea Zanette, Ching-An Cheng, Alekh Agarwal
COLT | March 2021
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Towards a Dimension-Free Understanding of Adaptive Linear Control
Juan C. Perdomo, Max Simchowitz, Alekh Agarwal, Peter L. Bartlett
COLT 2021 | March 2021
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Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions
Sébastien Bubeck, Thomas Budzinski, Mark Sellke
COLT 2021 | November 2020
-
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Matthew Brennan, Guy Bresler, Samuel B. Hopkins, Jerry Li, Tselil Schramm
COLT 2021 | September 2020
Best Paper Runner Up
-
Adaptive Discretization for Adversarial Lipschitz Bandits
Chara Podimata, Aleksandrs Slivkins
COLT 2021 | June 2020
-
Corruption Robust Exploration in Episodic Reinforcement Learning
Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
COLT 2021 | November 2019
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-
-
Towards a Dimension-Free Understanding of Adaptive Linear Control
Juan C. Perdomo, Max Simchowitz, Alekh Agarwal, Peter L. Bartlett
COLT 2021 | March 2021
-
-
-
Benign Overfitting of Constant-Stepsize SGD for Linear Regression
Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham Kakade
2021 Conference on Learning Theory | July 2021
-
Kernel Thinning
Raaz Dwivedi, Lester Mackey
COLT 2021 | May 2021
-
Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation.
Andrea Zanette, Ching-An Cheng, Alekh Agarwal
COLT | March 2021
-
Towards a Dimension-Free Understanding of Adaptive Linear Control
Juan C. Perdomo, Max Simchowitz, Alekh Agarwal, Peter L. Bartlett
COLT 2021 | March 2021
-
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions
Sébastien Bubeck, Thomas Budzinski, Mark Sellke
COLT 2021 | November 2020
-
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Matthew Brennan, Guy Bresler, Samuel B. Hopkins, Jerry Li, Tselil Schramm
COLT 2021 | September 2020
Best Paper Runner Up
-
Adaptive Discretization for Adversarial Lipschitz Bandits
Chara Podimata, Aleksandrs Slivkins
COLT 2021 | June 2020
-
Corruption Robust Exploration in Episodic Reinforcement Learning
Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
COLT 2021 | November 2019
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