Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control

20 May 2021

Papers citing "Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control"

20 / 20 papers shown

Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 342 42,299 0 03 Dec 2019
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout Xubo Yue Raed Al Kontar 53 38 0 04 Nov 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 52 93 0 14 Oct 2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization Shion Takeno H. Fukuoka Yuhki Tsukada T. Koyama M. Shiga Ichiro Takeuchi Masayuki Karasuyama 57 40 0 24 Jan 2019
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes Jialin Song Yuxin Chen Yisong Yue 114 101 0 02 Nov 2018
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration Jacob R. Gardner Geoff Pleiss D. Bindel Kilian Q. Weinberger A. Wilson GP 96 1,095 0 28 Sep 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 119 246 0 25 May 2018
Bayesian Optimization for Dynamic Problems Favour Nyikosa Michael A. Osborne Stephen J. Roberts 57 40 0 09 Mar 2018
The reparameterization trick for acquisition functions James T. Wilson Riccardo Moriconi Frank Hutter M. Deisenroth 54 79 0 01 Dec 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 47 221 0 18 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 143 410 0 06 Mar 2017
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization Jian Wu P. Frazier ODL BDL 41 224 0 14 Jun 2016
Parallel Bayesian Global Optimization of Expensive Functions Jialei Wang Scott C. Clark Eric Liu P. Frazier 40 160 0 16 Feb 2016
Time-Varying Gaussian Process Bandit Optimization Ilija Bogunovic Jonathan Scarlett Volkan Cevher 84 96 0 25 Jan 2016
GLASSES: Relieving The Myopia Of Bayesian Optimisation Javier I. González Michael A. Osborne Neil D. Lawrence 57 119 0 21 Oct 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 93 647 0 10 Jun 2014
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 116 673 0 06 Dec 2011
Convergence rates of efficient global optimization algorithms Adam D. Bull 111 641 0 18 Jan 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
Convergence properties of the expected improvement algorithm E. Vázquez Julien Bect 87 232 0 21 Dec 2007