No-regret Algorithms for Multi-task Bayesian Optimization

20 August 2020

Papers citing "No-regret Algorithms for Multi-task Bayesian Optimization"

25 / 25 papers shown

Title
Multi-objective optimisation via the R2 utilities Ben Tu N. Kantas Robert M. Lee B. Shafei 334 3 0 19 May 2023
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 60 133 0 01 Sep 2020
On Online Learning in Kernelized Markov Decision Processes Sayak Ray Chowdhury Aditya Gopalan OffRL 37 48 0 04 Nov 2019
Bayesian Optimization under Heavy-tailed Payoffs Sayak Ray Chowdhury Aditya Gopalan 57 26 0 16 Sep 2019
Bayesian Optimization of Composite Functions Raul Astudillo P. Frazier LLMAG 42 77 0 04 Jun 2019
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret Daniele Calandriello Luigi Carratino A. Lazaric Michal Valko Lorenzo Rosasco GP 41 0 0 13 Mar 2019
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations Biswajit Paria Kirthevasan Kandasamy Barnabás Póczós 131 130 0 30 May 2018
Infinite-Task Learning with RKHSs Romain Brault Alex Lambert Z. Szabó Maxime Sangnier Florence dÁlché-Buc 18 12 0 22 May 2018
Online Learning in Kernelized Markov Decision Processes Sayak Ray Chowdhury Aditya Gopalan OffRL 18 3 0 21 May 2018
Streaming kernel regression with provably adaptive mean, variance, and regularization A. Durand Odalric-Ambrym Maillard Joelle Pineau 40 43 0 02 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 287 5,825 0 14 Jun 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 46 214 0 05 Jun 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization Jonathan Scarlett Ilija Bogunovic Volkan Cevher 66 101 0 31 May 2017
Multi-Task Learning for Contextual Bandits A. Deshmukh Ürün Dogan Clayton Scott 116 93 0 24 May 2017
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 109 460 0 03 Apr 2017
Predictive Entropy Search for Multi-objective Bayesian Optimization Daniel Hernández-Lobato José Miguel Hernández-Lobato Amar Shah Ryan P. Adams 147 189 0 17 Nov 2015
Operator-valued Kernels for Learning from Functional Response Data Hachem Kadri E. Duflos Philippe Preux S. Canu A. Rakotomamonjy Julien Audiffren 63 130 0 28 Oct 2015
On the relation between accuracy and fairness in binary classification Indrė Žliobaitė FaML 62 196 0 21 May 2015
Bayesian Optimization for Synthetic Gene Design Javier I. González Joseph Longworth D. James Neil D. Lawrence 62 79 0 07 May 2015
A Survey of Multi-Objective Sequential Decision-Making D. Roijers Peter Vamplew Shimon Whiteson Richard Dazeley 77 652 0 04 Feb 2014
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization Thomas Desautels Andreas Krause J. W. Burdick 101 473 0 27 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 340 7,934 0 13 Jun 2012
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 127 147 0 21 May 2012
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 203 925 0 30 Jun 2011
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 131 2,446 0 12 Dec 2010