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2021-10
ORB-SLAM with Near-infrared images and Optical Flow data
2021-08
A functional mirror ascent view of policy gradient methods with function approximation.
2021-07
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
2021-06
On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging.
2021-05
Batch Reinforcement Learning Through Continuation Method
2021-02
Bridging the Gap Between Adversarial Robustness and Optimization Bias
2021-01
Impact of Aliasing on Generalization in Deep Convolutional Networks
ICCV 2021
(2021-01-01)
openaccess.thecvf.comPDF[LATEST on arXiv preprint arXiv:2108.03489 (2021-08-07)]2020-11
An Effective Anti-Aliasing Approach for Residual Networks.
2020-06
To Each Optimizer a Norm, To Each Norm its Generalization.
On the interplay between noise and curvature and its effect on optimization and generalization
2020-02
The Geometry of Sign Gradient Descent
2020-01
An operator view of policy gradient methods.
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
The Value Function Polytope in Reinforcement Learning
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
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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