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09/07/2022
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
Convolutional Neural Networks (CNNs) compression is crucial to deploying...
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06/23/2021
Bregman Gradient Policy Optimization
In this paper, we design a novel Bregman gradient policy optimization fr...
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10/13/2020
Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold
In the paper, we study a class of useful non-convex minimax optimization...
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08/18/2020
Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization
In the paper, we propose a new accelerated zeroth-order momentum (Acc-ZO...
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07/13/2020
Momentum-Based Policy Gradient Methods
In the paper, we propose a class of efficient momentum-based policy grad...
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07/30/2019
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity
Zeroth-order (gradient-free) method is a class of powerful optimization ...
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05/29/2019