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1802.04782
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Improving Quadrature for Constrained Integrands
13 February 2018
Henry Chai
Roman Garnett
TPM
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Papers citing
"Improving Quadrature for Constrained Integrands"
18 / 18 papers shown
Parallelized Acquisition for Active Learning using Monte Carlo Sampling
J. Torrado
Nils Schöneberg
Jonas El Gammal
292
3
0
30 May 2023
Bayesian Quadrature for Neural Ensemble Search
Saad Hamid
Xingchen Wan
Martin Jørgensen
Binxin Ru
Michael A. Osborne
BDL
UQCV
259
1
0
15 Mar 2023
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces
Masaki Adachi
Satoshi Hayakawa
Saad Hamid
Martin Jørgensen
Harald Oberhauser
Michael A. Osborne
508
7
0
27 Jan 2023
Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature
IFAC-PapersOnLine (IFAC-PapersOnLine), 2022
Masaki Adachi
Yannick Kuhn
Birger Horstmann
Arnulf Latz
Michael A. Osborne
David A. Howey
314
12
0
28 Oct 2022
Scalable Bayesian Transformed Gaussian Processes
Xinran Zhu
Leo Huang
Cameron Ibrahim
E. Lee
D. Bindel
170
1
0
20 Oct 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Neural Information Processing Systems (NeurIPS), 2022
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Harald Oberhauser
Michael A. Osborne
403
25
0
09 Jun 2022
Invariant Priors for Bayesian Quadrature
Masha Naslidnyk
Javier I. González
Maren Mahsereci
224
2
0
02 Dec 2021
Black Box Probabilistic Numerics
Onur Teymur
Christopher N. Foley
Philip G. Breen
Toni Karvonen
Chris J. Oates
309
5
0
15 Jun 2021
Marginalising over Stationary Kernels with Bayesian Quadrature
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Saad Hamid
Sebastian Schulze
Michael A. Osborne
Stephen J. Roberts
GP
303
4
0
14 Jun 2021
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
Marko Jarvenpaa
J. Corander
385
6
0
08 Apr 2021
Bayesian Quadrature on Riemannian Data Manifolds
International Conference on Machine Learning (ICML), 2021
Christian Frohlich
A. Gessner
Philipp Hennig
Bernhard Schölkopf
Georgios Arvanitidis
350
4
0
12 Feb 2021
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
Marko Jarvenpaa
Aki Vehtari
Pekka Marttinen
406
15
0
14 Oct 2019
A Locally Adaptive Bayesian Cubature Method
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Matthew A. Fisher
Chris J. Oates
C. Powell
A. Teckentrup
121
4
0
07 Oct 2019
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design
International Conference on Machine Learning (ICML), 2019
Shali Jiang
Henry Chai
Javier I. González
Roman Garnett
OffRL
380
56
0
10 Sep 2019
Convergence Guarantees for Adaptive Bayesian Quadrature Methods
Neural Information Processing Systems (NeurIPS), 2019
Motonobu Kanagawa
Philipp Hennig
277
41
0
24 May 2019
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations
Bayesian Analysis (BA), 2019
Marko Jarvenpaa
Michael U. Gutmann
Aki Vehtari
Pekka Marttinen
420
44
0
03 May 2019
Active Multi-Information Source Bayesian Quadrature
A. Gessner
Javier I. González
Maren Mahsereci
293
32
0
27 Mar 2019
Automated Model Selection with Bayesian Quadrature
Henry Chai
Jean-François Ton
Roman Garnett
Michael A. Osborne
395
11
0
26 Feb 2019
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