Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization

8 June 2021

Papers citing "Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization"

34 / 34 papers shown

Title
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Yu-Heng Hung Kai-Jie Lin Yu-Heng Lin Chien-Yi Wang Cheng Sun Ping-Chun Hsieh 67 1 0 28 May 2025
Few-Shot Bayesian Optimization with Deep Kernel Surrogates Martin Wistuba Josif Grabocka BDL 101 70 0 19 Jan 2021
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang Daniel R. Jiang Maximilian Balandat Brian Karrer Jacob R. Gardner Roman Garnett 77 44 0 29 Jun 2020
Q-Learning in enormous action spaces via amortized approximate maximization T. Wiele David Warde-Farley A. Mnih Volodymyr Mnih 71 60 0 22 Jan 2020
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout Xubo Yue Raed Al Kontar 89 38 0 04 Nov 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 101 218 0 30 Oct 2019
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design Shali Jiang Henry Chai Javier I. González Roman Garnett OffRL 100 51 0 10 Sep 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 105 85 0 04 Apr 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 85 142 0 26 Feb 2019
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 74 778 0 22 Oct 2018
A Tutorial on Bayesian Optimization P. Frazier GP 113 1,799 0 08 Jul 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 307 503 0 11 Jun 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 254 2,239 0 08 Mar 2018
Efficient Exploration through Bayesian Deep Q-Networks Kamyar Azizzadenesheli Anima Anandkumar OffRL BDL 87 163 0 13 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 319 8,432 0 04 Jan 2018
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 92 10 0 30 Nov 2017
Stein Variational Policy Gradient Yang Liu Prajit Ramachandran Qiang Liu Jian-wei Peng 78 140 0 07 Apr 2017
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 127 463 0 03 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 843 11,961 0 09 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 174 413 0 06 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 118 1,350 0 27 Feb 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 100 1,094 0 16 Aug 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 127 1,315 0 15 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 93 3,771 0 20 Nov 2015
GLASSES: Relieving The Myopia Of Bayesian Optimisation Javier I. González Michael A. Osborne Neil D. Lawrence 74 119 0 21 Oct 2015
Bayesian optimization for materials design P. Frazier Jialei Wang AI4CE 74 228 0 03 Jun 2015
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction Y. Zhang Kihyuk Sohn Ruben Villegas Gang Pan Honglak Lee ObjD 53 215 0 13 Apr 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 109 648 0 10 Jun 2014
Generalization and Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Zheng Wen 91 314 0 04 Feb 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 384 7,981 0 13 Jun 2012
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 131 673 0 06 Dec 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 140 2,449 0 12 Dec 2010
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 263 3,238 0 02 Nov 2010
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 181 1,626 0 21 Dec 2009