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04/12/2022
Anytime-valid sequential testing for elicitable functionals via supermartingales
We design sequential tests for a large class of nonparametric null hypot...
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12/31/2020
Optimizing Optimizers: Regret-optimal gradient descent algorithms
The need for fast and robust optimization algorithms are of critical imp...
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05/05/2019
A Latent Variational Framework for Stochastic Optimization
This paper provides a unifying theoretical framework for stochastic opti...
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05/05/2019
A Bayesian Variational Framework for Stochastic Optimization
This work proposes a theoretical framework for stochastic optimization a...
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04/23/2019
Deep Q-Learning for Nash Equilibria: Nash-DQN
Model-free learning for multi-agent stochastic games is an active area o...
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06/12/2018