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On Provably Robust Meta-Bayesian Optimization

14 June 2022

Papers citing "On Provably Robust Meta-Bayesian Optimization"

21 / 21 papers shown

Title
Differentially Private Federated Bayesian Optimization with Distributed Exploration Zhongxiang Dai K. H. Low Patrick Jaillet FedML 70 41 0 27 Oct 2021
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 123 111 0 20 Oct 2020
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games Zhongxiang Dai Yizhou Chen K. H. Low Patrick Jaillet Teck-Hua Ho 49 26 0 30 Jun 2020
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning Valerio Perrone Huibin Shen Matthias Seeger Cédric Archambeau Rodolphe Jenatton 65 97 0 27 Sep 2019
No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause OffRL 69 40 0 18 Sep 2019
Bayesian Optimization with Binary Auxiliary Information Yehong Zhang Zhongxiang Dai K. H. Low 48 26 0 17 Jun 2019
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization Michael Volpp Lukas P. Frohlich Kirsten Fischer Andreas Doerr Stefan Falkner Frank Hutter Christian Daniel 81 84 0 04 Apr 2019
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks Elnaz Soleimani Ehsan Nazerfard GAN 47 127 0 29 Mar 2019
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning Jian Wu Saul Toscano-Palmerin P. Frazier A. Wilson 56 132 0 12 Mar 2019
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior Zi Wang Beomjoon Kim L. Kaelbling 64 54 0 23 Nov 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 69 762 0 08 Oct 2018
Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning Kunkun Pang Mingzhi Dong Yang Wu Timothy M. Hospedales OffRL 39 91 0 12 Jun 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 110 324 0 24 May 2018
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 116 460 0 03 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 980 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 99 1,019 0 09 Nov 2016
Warm Starting Bayesian Optimization Matthias Poloczek Jialei Wang P. Frazier 85 61 0 11 Aug 2016
Multi-Information Source Optimization Matthias Poloczek Jialei Wang P. Frazier 79 198 0 01 Mar 2016
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 359 7,942 0 13 Jun 2012
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 149 1,622 0 21 Dec 2009