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BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design

BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design

10 September 2019
Shali Jiang
Henry Chai
Javier I. González
Roman Garnett
    OffRL
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Papers citing "BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design"

14 / 14 papers shown
Title
Modern Bayesian Experimental Design
Modern Bayesian Experimental Design
Tom Rainforth
Adam Foster
Desi R. Ivanova
Freddie Bickford-Smith
37
77
0
28 Feb 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
Adam X. Yang
Laurence Aitchison
Henry B. Moss
29
4
0
22 Feb 2023
Scalable Bayesian optimization with high-dimensional outputs using
  randomized prior networks
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks
Mohamed Aziz Bhouri
M. Joly
Robert Yu
S. Sarkar
P. Perdikaris
BDL
UQCV
AI4CE
19
1
0
14 Feb 2023
Rollout Algorithms and Approximate Dynamic Programming for Bayesian
  Optimization and Sequential Estimation
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation
Dimitri Bertsekas
33
3
0
15 Dec 2022
Bayesian Optimization Over Iterative Learners with Structured Responses:
  A Budget-aware Planning Approach
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
Syrine Belakaria
J. Doppa
Nicolò Fusi
Rishit Sheth
25
7
0
25 Jun 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
Benjamin Letham
Phillip Guan
Chase Tymms
E. Bakshy
Michael Shvartsman
32
10
0
18 Mar 2022
Sequential Bayesian experimental designs via reinforcement learning
Sequential Bayesian experimental designs via reinforcement learning
Hikaru Asano
OffRL
18
0
0
14 Feb 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization
Thinking inside the box: A tutorial on grey-box Bayesian optimization
Raul Astudillo
P. Frazier
20
35
0
02 Jan 2022
Two-step Lookahead Bayesian Optimization with Inequality Constraints
Two-step Lookahead Bayesian Optimization with Inequality Constraints
Yunxiang Zhang
Xinming Zhang
P. Frazier
19
7
0
06 Dec 2021
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Adam Foster
Desi R. Ivanova
Ilyas Malik
Tom Rainforth
28
78
0
03 Mar 2021
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
Shali Jiang
Daniel R. Jiang
Maximilian Balandat
Brian Karrer
Jacob R. Gardner
Roman Garnett
16
44
0
29 Jun 2020
$ε$-shotgun: $ε$-greedy Batch Bayesian Optimisation
εεε-shotgun: εεε-greedy Batch Bayesian Optimisation
George De Ath
Richard Everson
J. Fieldsend
Alma A. M. Rahat
29
15
0
05 Feb 2020
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,123
0
25 Jul 2012
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