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2021-07
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
2021-06
2021-05
Batch Reinforcement Learning Through Continuation Method
2021-02
Bridging the Gap Between Adversarial Robustness and Optimization Bias
2020-11
An Effective Anti-Aliasing Approach for Residual Networks.
2020-06
To Each Optimizer a Norm, To Each Norm its Generalization.
2020-02
The Geometry of Sign Gradient Descent
2020-01
An operator view of policy gradient methods.
On the interplay between noise and curvature and its effect on optimization and generalization
2019-06
On the interplay between noise and curvature and its effect on optimization and generalization
Information matrices and generalization
2019-05
Understanding the impact of entropy on policy optimization
2019-04
Distributional reinforcement learning with linear function approximation
AISTATS 2019
(2019-04-11)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1902.03149 (2019-02-08)]2019-03
Improving NILM by Combining Sensor Data and Linear Programming
2019-02
Anytime Tail Averaging.
Negative eigenvalues of the Hessian in deep neural networks.
2019-01
The Value Function Polytope in Reinforcement Learning
ICML 2019
(2019-01-31)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:1901.11524 (2019-01-31)]A Geometric Perspective on Optimal Representations for Reinforcement Learning
Reducing the variance in online optimization by transporting past gradients
2018-11
Understanding the impact of entropy in policy learning
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