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05/24/2023
The Behavior and Convergence of Local Bayesian Optimization
A recent development in Bayesian optimization is the use of local optimi...
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05/24/2023
Black-Box Variational Inference Converges
We provide the first convergence guarantee for full black-box variationa...
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03/18/2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
Understanding the gradient variance of black-box variational inference (...
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10/21/2022
Local Bayesian optimization via maximizing probability of descent
Local optimization presents a promising approach to expensive, high-dime...
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10/20/2022
Discovering Many Diverse Solutions with Bayesian Optimization
Bayesian optimization (BO) is a popular approach for sample-efficient op...
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08/06/2020
Stronger and Faster Wasserstein Adversarial Attacks
Deep models, while being extremely flexible and accurate, are surprising...
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06/25/2020
Newton-type Methods for Minimax Optimization
Differential games, in particular two-player sequential games (a.k.a. mi...
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07/26/2019
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin
Deep models, while being extremely versatile and accurate, are vulnerabl...
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05/13/2019