Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context

Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context

26 March 2025

Anastasios Tsiamis

Papers citing "Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context"

10 / 10 papers shown

Title
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation Xiaobin Huang Lei Song Ke Xue Chao Qian 69 3 0 16 Dec 2023
Kernelized Reinforcement Learning with Order Optimal Regret Bounds Sattar Vakili Julia Olkhovskaya 47 9 0 13 Jun 2023
$Convergence of the empirical measure in expected Wasserstein distance: non asymptotic explicit bounds in $\mathbb{R}^d$$ Convergence of the empirical measure in expected Wasserstein distance: non asymptotic explicit bounds in $\mathbb{R}^d$ N. Fournier 45 17 0 02 Sep 2022
On Information Gain and Regret Bounds in Gaussian Process Bandits Sattar Vakili Kia Khezeli Victor Picheny GP 55 133 0 15 Sep 2020
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality Rui Gao 53 92 0 09 Sep 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 75 78 0 20 Feb 2020
Accelerating Experimental Design by Incorporating Experimenter Hunches Cheng Li Santu Rana Sunil R. Gupta Vu Nguyen Svetha Venkatesh ... David Rubín de Celis Leal Teo Slezak Murray Height M. Mohammed I. Gibson 71 33 0 22 Jul 2019
Bayesian Optimisation over Multiple Continuous and Categorical Inputs Binxin Ru A. Alvi Vu Nguyen Michael A. Osborne Stephen J. Roberts 101 97 0 20 Jun 2019
Finite-Time Analysis of Kernelised Contextual Bandits Michal Valko N. Korda Rémi Munos I. Flaounas N. Cristianini 185 273 0 26 Sep 2013
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 146 1,619 0 21 Dec 2009