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09/04/2023
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
In this work, we study first-order algorithms for solving Bilevel Optimi...
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06/04/2023
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
We consider the block coordinate descent methods of Gauss-Seidel type wi...
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01/26/2023
A Fully First-Order Method for Stochastic Bilevel Optimization
We consider stochastic unconstrained bilevel optimization problems when ...
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12/13/2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
Score-based generative models are shown to achieve remarkable empirical ...
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10/27/2021
Training Wasserstein GANs without gradient penalties
We propose a stable method to train Wasserstein generative adversarial n...
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10/12/2021
Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles
This paper proposes a deep reinforcement learning-based video streaming ...
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01/08/2020
