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05/19/2023
From Random Search to Bandit Learning in Metric Measure Spaces
Random Search is one of the most widely-used method for Hyperparameter O...
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02/03/2023
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
One of the most critical problems in machine learning is HyperParameter ...
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05/29/2022
Stochastic Zeroth Order Gradient and Hessian Estimators: Variance Reduction and Refined Bias Bounds
We study stochastic zeroth order gradient and Hessian estimators for rea...
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12/09/2021
A More Stable Accelerated Gradient Method Inspired by Continuous-Time Perspective
Nesterov's accelerated gradient method (NAG) is widely used in problems ...
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10/19/2021