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01/12/2023
Thompson Sampling with Diffusion Generative Prior
In this work, we initiate the idea of using denoising diffusion models t...
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06/13/2022
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation
We examine the problem of regret minimization when the learner is involv...
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06/08/2022
Push–Pull with Device Sampling
We consider decentralized optimization problems in which a number of age...
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06/08/2022
Uplifting Bandits
We introduce a multi-armed bandit model where the reward is a sum of mul...
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05/27/2021
Optimization in Open Networks via Dual Averaging
In networks of autonomous agents (e.g., fleets of vehicles, scattered se...
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04/26/2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium
In game-theoretic learning, several agents are simultaneously following ...
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12/21/2020
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
Online learning has been successfully applied to many problems in which ...
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03/23/2020
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
Owing to their stability and convergence speed, extragradient methods ha...
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08/22/2019
On the convergence of single-call stochastic extra-gradient methods
Variational inequalities have recently attracted considerable interest i...
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10/01/2018