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06/01/2023
Non-stationary Reinforcement Learning under General Function Approximation
General function approximation is a powerful tool to handle large state ...
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03/01/2022
A Constrained Optimization Approach to Bilevel Optimization with Multiple Inner Minima
Bilevel optimization has found extensive applications in modern machine ...
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02/18/2020
Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms
As a popular meta-learning approach, the model-agnostic meta-learning (M...
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06/12/2018
Convergence of SGD in Learning ReLU Models with Separable Data
We consider the binary classification problem in which the objective fun...
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02/20/2018
