Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation

24 October 2016

Papers citing "Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation"

22 / 22 papers shown

Title
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 33 0 0 10 Sep 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 39 1 0 13 Feb 2024
Practical Path-based Bayesian Optimization Jose Pablo Folch J. Odgers Shiqiang Zhang Robert M. Lee B. Shafei David Walz Calvin Tsay Mark van der Wilk Ruth Misener 44 2 0 01 Dec 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang Jialin Song James Bowden Alexander Ladd Yisong Yue Thomas A. Desautels Yuxin Chen 30 6 0 25 Jul 2023
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems Shyam Sundhar Ramesh Pier Giuseppe Sessa Andreas Krause Ilija Bogunovic 16 12 0 14 Oct 2022
Online Subset Selection using $α$ -Core with no Augmented Regret Sourav Sahoo Siddhant Chaudhary S. Mukhopadhyay Abhishek Sinha OffRL 45 0 0 28 Sep 2022
Graph Neural Network Bandits Parnian Kassraie Andreas Krause Ilija Bogunovic 26 11 0 13 Jul 2022
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization S. Petit Julien Bect E. Vázquez 33 1 0 07 Jun 2022
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback Tianyi Lin Aldo Pacchiano Yaodong Yu Michael I. Jordan 21 0 0 15 May 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation Benjamin Letham Phillip Guan Chase Tymms E. Bakshy Michael Shvartsman 22 10 0 18 Mar 2022
Nearly Optimal Algorithms for Level Set Estimation Blake Mason Romain Camilleri Subhojyoti Mukherjee Kevin G. Jamieson Robert D. Nowak Lalit P. Jain 14 22 0 02 Nov 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
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 28 51 0 04 Mar 2020
Bayesian Optimization with Unknown Search Space Huong Ha Santu Rana Sunil R. Gupta Thanh Nguyen Hung The Tran Svetha Venkatesh 21 22 0 29 Oct 2019
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty S. Iwazaki Yu Inatsu Ichiro Takeuchi 17 15 0 26 Oct 2019
No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause OffRL 24 39 0 18 Sep 2019
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method Pu Zhao Sijia Liu Pin-Yu Chen Nghia Hoang Kaidi Xu B. Kailkhura Xue Lin AAML 27 54 0 26 Jul 2019
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 38 27 0 30 May 2018
Derivative free optimization via repeated classification Tatsunori B. Hashimoto Steve Yadlowsky John C. Duchi 11 18 0 11 Apr 2018
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization Jonathan Scarlett Ilija Bogunovic V. Cevher 25 99 0 31 May 2017
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 14 76 0 20 Mar 2016
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 80 95 0 27 Feb 2014