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Batch Bayesian Optimization via Particle Gradient Flows
10 September 2022
Enrico Crovini
S. Cotter
K. Zygalakis
Andrew B. Duncan
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Papers citing
"Batch Bayesian Optimization via Particle Gradient Flows"
18 / 18 papers shown
Title
Grassmann Stein Variational Gradient Descent
Xingtu Liu
Harrison Zhu
Jean-François Ton
George Wynne
Andrew Duncan
76
12
0
07 Feb 2022
Large-Scale Wasserstein Gradient Flows
Petr Mokrov
Alexander Korotin
Lingxiao Li
Aude Genevay
Justin Solomon
Evgeny Burnaev
72
74
0
01 Jun 2021
Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods
Oliver R. A. Dunbar
Andrew B. Duncan
Andrew M. Stuart
Marie-Therese Wolfram
82
27
0
07 Apr 2021
Maximum Mean Discrepancy Gradient Flow
Michael Arbel
Anna Korba
Adil Salim
Arthur Gretton
111
164
0
11 Jun 2019
Flow-based generative models for Markov chain Monte Carlo in lattice field theory
M. S. Albergo
G. Kanwar
P. Shanahan
AI4CE
56
218
0
26 Apr 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
A. Alvi
Binxin Ru
Jan-Peter Calliess
Stephen J. Roberts
Michael A. Osborne
50
45
0
29 Jan 2019
Policy Optimization as Wasserstein Gradient Flows
Ruiyi Zhang
Changyou Chen
Chunyuan Li
Lawrence Carin
68
68
0
09 Aug 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
Antoine Liutkus
Umut Simsekli
Szymon Majewski
Alain Durmus
Fabian-Robert Stöter
DiffM
86
122
0
21 Jun 2018
Maximizing acquisition functions for Bayesian optimization
James T. Wilson
Frank Hutter
M. Deisenroth
124
247
0
25 May 2018
Constrained Bayesian Optimization with Noisy Experiments
Benjamin Letham
Brian Karrer
Guilherme Ottoni
E. Bakshy
49
302
0
21 Jun 2017
Stein Variational Gradient Descent as Gradient Flow
Qiang Liu
OT
80
276
0
25 Apr 2017
Bayesian Optimization with Gradients
Jian Wu
Matthias Poloczek
A. Wilson
P. Frazier
56
210
0
13 Mar 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu
Dilin Wang
BDL
73
1,092
0
16 Aug 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
Jian Wu
P. Frazier
ODL
BDL
48
225
0
14 Jun 2016
Parallel Bayesian Global Optimization of Expensive Functions
Jialei Wang
Scott C. Clark
Eric Liu
P. Frazier
46
161
0
16 Feb 2016
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
Amar Shah
Zoubin Ghahramani
66
160
0
23 Nov 2015
Batch Bayesian Optimization via Local Penalization
Javier I. González
Zhenwen Dai
Philipp Hennig
Neil D. Lawrence
77
356
0
29 May 2015
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
318
4,182
0
21 May 2015
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