research
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09/24/2022
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms
We study momentum-based first-order optimization algorithms in which the...
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03/14/2021
Transient growth of accelerated first-order methods for strongly convex optimization problems
Optimization algorithms are increasingly being used in applications with...
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12/26/2019
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Model-free reinforcement learning attempts to find an optimal control ac...
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05/27/2019