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04/12/2023
SmartChoices: Augmenting Software with Learned Implementations
We are living in a golden age of machine learning. Powerful models are b...
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07/27/2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
Vizier is the de-facto blackbox and hyperparameter optimization service ...
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06/08/2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Single-objective black box optimization (also known as zeroth-order opti...
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11/14/2019
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
Zeroth-order optimization is the process of minimizing an objective f(x)...
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01/24/2011
Adaptive Submodular Optimization under Matroid Constraints
Many important problems in discrete optimization require maximization of...
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10/15/2010
Near-Optimal Bayesian Active Learning with Noisy Observations
We tackle the fundamental problem of Bayesian active learning with noise...
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03/21/2010
