Bayesian Optimization with Exponential Convergence

5 April 2016

Tomás Lozano-Pérez

Papers citing "Bayesian Optimization with Exponential Convergence"

21 / 21 papers shown

Title
A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection Fu Lee Wang Yanghao Zhang Xiangyu Yin Guangliang Cheng Zeyu Fu Xiaowei Huang Wenjie Ruan AAML 96 0 0 18 Dec 2024
LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions E. Visser C. E. V. Daalen J. C. Schoeman 45 0 0 19 Nov 2023
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization Ahmed Shoyeb Raihan H. Khosravi Srinjoy Das Imtiaz Ahmed 39 3 0 16 Nov 2023
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 39 54 0 16 Oct 2022
Multi-objective Optimization by Learning Space Partitions Yiyang Zhao Linnan Wang Kevin Kaichuang Yang Tianjun Zhang Tian Guo Yuandong Tian 40 17 0 07 Oct 2021
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-shan Shiu 31 51 0 20 Aug 2021
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization Marco Rando Luigi Carratino S. Villa Lorenzo Rosasco 44 5 0 16 Jun 2021
Bayesian Optimistic Optimisation with Exponentially Decaying Regret Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 16 3 0 10 May 2021
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 40 126 0 01 Jul 2020
Data-Driven Model Set Design for Model Averaged Particle Filter B. Liu 20 6 0 30 Sep 2019
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 38 27 0 30 May 2018
ZOOpt: Toolbox for Derivative-Free Optimization Yu-Ren Liu Yi-Qi Hu Hong Qian Chao Qian Yang Yu GP 29 28 0 31 Dec 2017
Query-limited Black-box Attacks to Classifiers Fnu Suya Yuan Tian David Evans Paolo Papotti AAML 17 24 0 23 Dec 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 14 209 0 05 Jun 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization Jonathan Scarlett Ilija Bogunovic V. Cevher 27 99 0 31 May 2017
Inverse Reinforcement Learning from Summary Data A. Kangasrääsiö Samuel Kaski OffRL 26 15 0 28 Mar 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 37 124 0 06 Mar 2017
Global Continuous Optimization with Error Bound and Fast Convergence Kenji Kawaguchi Y. Maruyama Xiaoyu Zheng 6 24 0 17 Jul 2016
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 14 76 0 20 Mar 2016
Optimization as Estimation with Gaussian Processes in Bandit Settings Zi Wang Bolei Zhou Stefanie Jegelka GP 43 78 0 21 Oct 2015
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 80 95 0 27 Feb 2014