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09/02/2022
Optimal Diagonal Preconditioning: Theory and Practice
Preconditioning has been a staple technique in optimization and machine ...
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03/08/2022
Sensitivity Analysis under the f-Sensitivity Models: Definition, Estimation and Inference
The digitization of the economy has witnessed an explosive growth of ava...
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03/08/2021
No Discounted-Regret Learning in Adversarial Bandits with Delays
Consider a player that in each round t out of T rounds chooses an action...
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02/25/2021
Doubly-Adaptive Thompson Sampling for Multi-Armed and Contextual Bandits
To balance exploration and exploitation, multi-armed bandit algorithms n...
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11/03/2020
Federated LQR: Learning through Sharing
In many multi-agent reinforcement learning applications such as flocking...
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04/30/2020
Distributional Soft Actor Critic for Risk Sensitive Learning
Most of reinforcement learning (RL) algorithms aim at maximizing the exp...
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03/17/2020
Diagonal Preconditioning: Theory and Algorithms
Diagonal preconditioning has been a staple technique in optimization and...
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09/26/2016
