Picture for Quanquan Gu

Quanquan Gu

Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs

Add code
May 23, 2022
Figure 1 for Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs
Viaarxiv icon

Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions

Add code
May 13, 2022
Figure 1 for Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Viaarxiv icon

On the Convergence of Certified Robust Training with Interval Bound Propagation

Add code
Mar 16, 2022
Figure 1 for On the Convergence of Certified Robust Training with Interval Bound Propagation
Viaarxiv icon

Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime

Add code
Mar 07, 2022
Figure 1 for Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
Figure 2 for Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
Viaarxiv icon

Bandit Learning with General Function Classes: Heteroscedastic Noise and Variance-dependent Regret Bounds

Add code
Feb 28, 2022
Figure 1 for Bandit Learning with General Function Classes: Heteroscedastic Noise and Variance-dependent Regret Bounds
Viaarxiv icon

Benign Overfitting in Two-layer Convolutional Neural Networks

Add code
Feb 14, 2022
Figure 1 for Benign Overfitting in Two-layer Convolutional Neural Networks
Viaarxiv icon

Learning Contextual Bandits Through Perturbed Rewards

Add code
Jan 24, 2022
Figure 1 for Learning Contextual Bandits Through Perturbed Rewards
Figure 2 for Learning Contextual Bandits Through Perturbed Rewards
Figure 3 for Learning Contextual Bandits Through Perturbed Rewards
Figure 4 for Learning Contextual Bandits Through Perturbed Rewards
Viaarxiv icon

Benign Overfitting in Adversarially Robust Linear Classification

Add code
Dec 31, 2021
Figure 1 for Benign Overfitting in Adversarially Robust Linear Classification
Figure 2 for Benign Overfitting in Adversarially Robust Linear Classification
Figure 3 for Benign Overfitting in Adversarially Robust Linear Classification
Figure 4 for Benign Overfitting in Adversarially Robust Linear Classification
Viaarxiv icon

On the Convergence and Robustness of Adversarial Training

Add code
Dec 15, 2021
Figure 1 for On the Convergence and Robustness of Adversarial Training
Figure 2 for On the Convergence and Robustness of Adversarial Training
Figure 3 for On the Convergence and Robustness of Adversarial Training
Figure 4 for On the Convergence and Robustness of Adversarial Training
Viaarxiv icon

Learning Stochastic Shortest Path with Linear Function Approximation

Add code
Oct 25, 2021
Figure 1 for Learning Stochastic Shortest Path with Linear Function Approximation
Viaarxiv icon