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Bayesian Algorithm Execution: Estimating Computable Properties of
  Black-box Functions Using Mutual Information

Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information

19 April 2021
W. Neiswanger
Ke Alexander Wang
Stefano Ermon
    MLAU
ArXivPDFHTML

Papers citing "Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information"

24 / 24 papers shown
Title
End-to-End Optimal Detector Design with Mutual Information Surrogates
End-to-End Optimal Detector Design with Mutual Information Surrogates
K. Wozniak
Stephen Mulligan
J. Kieseler
Markus Klute
Francois Fleuret
Tobias Golling
58
1
0
18 Mar 2025
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
Rémy Hosseinkhan Boucher
Onofrio Semeraro
L. Mathelin
45
0
0
28 Jan 2025
Amortized Bayesian Experimental Design for Decision-Making
Amortized Bayesian Experimental Design for Decision-Making
Daolang Huang
Yujia Guo
Luigi Acerbi
Samuel Kaski
44
2
0
03 Jan 2025
Practical Bayesian Algorithm Execution via Posterior Sampling
Practical Bayesian Algorithm Execution via Posterior Sampling
Chu Xin Cheng
Raul Astudillo
Thomas A. Desautels
Yisong Yue
38
0
0
27 Oct 2024
Active Fourier Auditor for Estimating Distributional Properties of ML
  Models
Active Fourier Auditor for Estimating Distributional Properties of ML Models
Ayoub Ajarra
Bishwamittra Ghosh
Debabrota Basu
MLAU
49
0
0
10 Oct 2024
Quantifying Local Model Validity using Active Learning
Quantifying Local Model Validity using Active Learning
Sven Lämmle
Can Bogoclu
Robert Voßhall
Anselm Haselhoff
Dirk Roos
27
0
0
11 Jun 2024
Fairness Auditing with Multi-Agent Collaboration
Fairness Auditing with Multi-Agent Collaboration
M. Vos
Akash Dhasade
Jade Garcia Bourrée
Anne-Marie Kermarrec
Erwan Le Merrer
Benoit Rottembourg
Gilles Tredan
MLAU
16
1
0
13 Feb 2024
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment
  Design
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design
Clare Lyle
Arash Mehrjou
Pascal Notin
Andrew Jesson
Stefan Bauer
Y. Gal
Patrick Schwab
49
10
0
07 Dec 2023
A General Framework for User-Guided Bayesian Optimization
A General Framework for User-Guided Bayesian Optimization
Carl Hvarfner
Frank Hutter
Luigi Nardi
GP
33
11
0
24 Nov 2023
Efficient Determination of Safety Requirements for Perception Systems
Efficient Determination of Safety Requirements for Perception Systems
Sydney M. Katz
Anthony Corso
Esen Yel
Mykel J. Kochenderfer
11
4
0
03 Jul 2023
Tanimoto Random Features for Scalable Molecular Machine Learning
Tanimoto Random Features for Scalable Molecular Machine Learning
Austin Tripp
S. Bacallado
Sukriti Singh
José Miguel Hernández-Lobato
16
7
0
26 Jun 2023
Modern Bayesian Experimental Design
Modern Bayesian Experimental Design
Tom Rainforth
Adam Foster
Desi R. Ivanova
Freddie Bickford-Smith
27
77
0
28 Feb 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian
  Experimental Design
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
Desi R. Ivanova
Joel Jennings
Tom Rainforth
Cheng Zhang
Adam Foster
31
3
0
27 Feb 2023
Stationary Kernels and Gaussian Processes on Lie Groups and their
  Homogeneous Spaces II: non-compact symmetric spaces
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces
I. Azangulov
A. Smolensky
Alexander Terenin
Viacheslav Borovitskiy
32
14
0
30 Jan 2023
Near-optimal Policy Identification in Active Reinforcement Learning
Near-optimal Policy Identification in Active Reinforcement Learning
Xiang Li
Viraj Mehta
Johannes Kirschner
I. Char
W. Neiswanger
J. Schneider
Andreas Krause
Ilija Bogunovic
OffRL
37
6
0
19 Dec 2022
Discovering Many Diverse Solutions with Bayesian Optimization
Discovering Many Diverse Solutions with Bayesian Optimization
N. Maus
Kaiwen Wu
David Eriksson
J. Gardner
16
23
0
20 Oct 2022
Exploration via Planning for Information about the Optimal Trajectory
Exploration via Planning for Information about the Optimal Trajectory
Viraj Mehta
I. Char
J. Abbate
R. Conlin
M. Boyer
Stefano Ermon
J. Schneider
W. Neiswanger
OffRL
27
6
0
06 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization
Joint Entropy Search for Multi-objective Bayesian Optimization
Ben Tu
Axel Gandy
N. Kantas
B. Shafei
14
38
0
06 Oct 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies
Generalizing Bayesian Optimization with Decision-theoretic Entropies
W. Neiswanger
Lantao Yu
Shengjia Zhao
Chenlin Meng
Stefano Ermon
UQCV
43
11
0
04 Oct 2022
Multipoint-BAX: A New Approach for Efficiently Tuning Particle
  Accelerator Emittance via Virtual Objectives
Multipoint-BAX: A New Approach for Efficiently Tuning Particle Accelerator Emittance via Virtual Objectives
Sara Ayoub Miskovich
W. Neiswanger
W. Colocho
C. Emma
Jacqueline Garrahan
T. Maxwell
C. Mayes
Stefano Ermon
A. Edelen
Daniel Ratner
16
3
0
10 Sep 2022
Improving Accuracy of Interpretability Measures in Hyperparameter
  Optimization via Bayesian Algorithm Execution
Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution
Julia Moosbauer
Giuseppe Casalicchio
Marius Lindauer
B. Bischl
16
2
0
11 Jun 2022
An Experimental Design Perspective on Model-Based Reinforcement Learning
An Experimental Design Perspective on Model-Based Reinforcement Learning
Viraj Mehta
Biswajit Paria
J. Schneider
Stefano Ermon
W. Neiswanger
OffRL
9
18
0
09 Dec 2021
Re-Examining Linear Embeddings for High-Dimensional Bayesian
  Optimization
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
Benjamin Letham
Roberto Calandra
Akshara Rai
E. Bakshy
73
109
0
31 Jan 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
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