BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

14 October 2019

Maximilian Balandat

Daniel R. Jiang

Benjamin Letham

Papers citing "BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization"

17 / 17 papers shown

Title
Bayesian Optimization of 2D Echocardiography Segmentation Tung Tran Joshua V. Stough Xiaoyan Zhang C. Haggerty 11 3 0 17 Nov 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization Brandon Trabucco Xinyang Geng Aviral Kumar Sergey Levine OffRL 16 95 0 17 Feb 2022
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels Noémie Jaquier Viacheslav Borovitskiy A. Smolensky Alexander Terenin Tamim Asfour Leonel Rozo 11 35 0 02 Nov 2021
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control Sudharshan Ashwin Renganathan Jeffrey Larson Stefan M. Wild 13 7 0 20 May 2021
Fast Adaptation with Linearized Neural Networks Wesley J. Maddox Shuai Tang Pablo G. Moreno A. Wilson Andreas C. Damianou 19 32 0 02 Mar 2021
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization Valerio Perrone Huibin Shen Aida Zolic I. Shcherbatyi Amr Ahmed ... Barbara Pogorzelska Miroslav Miladinovic K. Kenthapadi Matthias Seeger Cédric Archambeau 8 16 0 15 Dec 2020
Asynchronous ε-Greedy Bayesian Optimisation George De Ath Richard Everson J. Fieldsend 25 5 0 15 Oct 2020
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks Meet P. Vadera Adam D. Cobb B. Jalaeian Benjamin M. Marlin BDL UQCV 22 16 0 08 Jul 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang Daniel R. Jiang Maximilian Balandat Brian Karrer J. Gardner Roman Garnett 8 44 0 29 Jun 2020
Bayesian Optimization with a Prior for the Optimum Artur L. F. Souza Luigi Nardi Leonardo B. Oliveira K. Olukotun Marius Lindauer Frank Hutter 11 8 0 25 Jun 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss M. Jankowiak David Eriksson Anil Damle J. Gardner 17 43 0 19 Jun 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 9 234 0 09 Jun 2020
Computing the racing line using Bayesian optimization Achin Jain M. Morari 8 32 0 12 Feb 2020
Effectively Unbiased FID and Inception Score and where to find them Min Jin Chong David A. Forsyth EGVM 8 199 0 16 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White W. Neiswanger Yash Savani BDL 26 313 0 25 Oct 2019
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 40 34 0 06 Feb 2018
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017