On Kernelized Multi-armed Bandits

3 April 2017

Papers citing "On Kernelized Multi-armed Bandits"

17 / 117 papers shown

Title
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 32 77 0 20 Feb 2020
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces A. Marchesi F. Trovò N. Gatti 11 18 0 18 Nov 2019
Safe Exploration for Interactive Machine Learning M. Turchetta Felix Berkenkamp Andreas Krause 22 87 0 30 Oct 2019
No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause OffRL 32 40 0 18 Sep 2019
Stochastic Bandits with Context Distributions Johannes Kirschner Andreas Krause 29 30 0 06 Jun 2019
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound Lin F. Yang Mengdi Wang OffRL GP 13 283 0 24 May 2019
Adaptive Sensor Placement for Continuous Spaces James A Grant A. Boukouvalas Ryan-Rhys Griffiths David S Leslie Sattar Vakili Enrique Munoz de Cote 18 13 0 16 May 2019
Sampling Acquisition Functions for Batch Bayesian Optimization Alessandro De Palma Celestine Mendler-Dünner Thomas Parnell Andreea Anghel H. Pozidis 39 13 0 22 Mar 2019
Bayesian optimisation under uncertain inputs Rafael Oliveira Lionel Ott F. Ramos 18 43 0 21 Feb 2019
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems K. P. Wabersich Melanie Zeilinger AI4CE 26 155 0 13 Dec 2018
Simple Regret Minimization for Contextual Bandits A. Deshmukh Srinagesh Sharma J. Cutler M. Moldwin Clayton Scott 17 24 0 17 Oct 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes Yanan Sui Vincent Zhuang J. W. Burdick Yisong Yue 27 139 0 20 Jun 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization Shromona Ghosh Felix Berkenkamp G. Ranade S. Qadeer Ashish Kapoor AAML 33 45 0 23 Feb 2018
Online Learning: A Comprehensive Survey Guosheng Lin Doyen Sahoo Jing Lu P. Zhao OffRL 29 634 0 08 Feb 2018
Information Directed Sampling and Bandits with Heteroscedastic Noise Johannes Kirschner Andreas Krause 24 122 0 29 Jan 2018
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics Felix Berkenkamp Andreas Krause Angela P. Schoellig 37 275 0 14 Feb 2016
Time-Varying Gaussian Process Bandit Optimization Ilija Bogunovic Jonathan Scarlett V. Cevher 69 95 0 25 Jan 2016