Movement Penalized Bayesian Optimization with Application to Wind Energy Systems

14 October 2022

Papers citing "Movement Penalized Bayesian Optimization with Application to Wind Energy Systems"

21 / 21 papers shown

Title
Bayesian Optimisation Against Climate Change: Applications and Benchmarks Sigrid Passano Hellan Christopher G. Lucas Nigel H. Goddard 64 1 0 07 Jun 2023
SnAKe: Bayesian Optimization with Pathwise Exploration Jose Pablo Folch Shiqiang Zhang Robert M. Lee B. Shafei David Walz Calvin Tsay Mark van der Wilk Ruth Misener 42 19 0 31 Jan 2022
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times Daniele Calandriello Luigi Carratino A. Lazaric Michal Valko Lorenzo Rosasco 26 14 0 30 Jan 2022
Contextual Games: Multi-Agent Learning with Side Information Pier Giuseppe Sessa Ilija Bogunovic Andreas Krause Maryam Kamgarpour 59 21 0 13 Jul 2021
Learning to Play Sequential Games versus Unknown Opponents Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause 13 27 0 10 Jul 2020
Bayesian optimization for modular black-box systems with switching costs Chi-Heng Lin Joseph D. Miano Eva L. Dyer 20 5 0 04 Jun 2020
Mixed Strategies for Robust Optimization of Unknown Objectives Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause 47 11 0 28 Feb 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 51 78 0 20 Feb 2020
Online Optimization with Predictions and Non-convex Losses Yiheng Lin Gautam Goel Adam Wierman 29 39 0 10 Nov 2019
On Online Learning in Kernelized Markov Decision Processes Sayak Ray Chowdhury Aditya Gopalan OffRL 11 48 0 04 Nov 2019
No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause OffRL 41 40 0 18 Sep 2019
Cost-aware Multi-objective Bayesian optimisation Majid Abdolshah A. Shilton Santu Rana Sunil R. Gupta Svetha Venkatesh 6 18 0 09 Sep 2019
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization Gautam Goel Yiheng Lin Haoyuan Sun Adam Wierman 33 64 0 29 May 2019
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes Jialin Song Yuxin Chen Yisong Yue 97 101 0 02 Nov 2018
Smoothed Online Optimization for Regression and Control Gautam Goel Adam Wierman 29 72 0 23 Oct 2018
Information Directed Sampling and Bandits with Heteroscedastic Noise Johannes Kirschner Andreas Krause 40 122 0 29 Jan 2018
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 98 455 0 03 Apr 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 33 220 0 18 Mar 2017
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes Tarun Kathuria Amit Deshpande Pushmeet Kohli GP 37 103 0 13 Nov 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic Jonathan Scarlett Andreas Krause Volkan Cevher 76 89 0 24 Oct 2016
Batch Bayesian Optimization via Local Penalization Javier I. González Zhenwen Dai Philipp Hennig Neil D. Lawrence 42 353 0 29 May 2015