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Unbounded Bayesian Optimization via Regularization

Unbounded Bayesian Optimization via Regularization

14 August 2015
Bobak Shahriari
Alexandre Bouchard-Côté
Nando de Freitas
    BDL
ArXiv (abs)PDFHTML

Papers citing "Unbounded Bayesian Optimization via Regularization"

25 / 25 papers shown
Title
Sequential Large Language Model-Based Hyper-parameter Optimization
Sequential Large Language Model-Based Hyper-parameter Optimization
Kanan Mahammadli
Seyda Ertekin
238
5
0
27 Oct 2024
FastBO: Fast HPO and NAS with Adaptive Fidelity Identification
FastBO: Fast HPO and NAS with Adaptive Fidelity Identification
Jiantong Jiang
Ajmal Mian
103
0
0
01 Sep 2024
High-dimensional Bayesian Optimization with Group Testing
High-dimensional Bayesian Optimization with Group Testing
E. Hellsten
Carl Hvarfner
Leonard Papenmeier
Luigi Nardi
71
4
0
05 Oct 2023
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization
Haitong Ma
Tianpeng Zhang
Yixuan Wu
Flavio du Pin Calmon
Na Li
74
11
0
10 Mar 2023
Transfer Learning for Bayesian Optimization: A Survey
Transfer Learning for Bayesian Optimization: A Survey
Tianyi Bai
Yang Li
Yu Shen
Xinyi Zhang
Wentao Zhang
Tengjiao Wang
BDL
78
31
0
12 Feb 2023
$π$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian
  Optimization
πππBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
Carl Hvarfner
Daniel Stoll
Artur L. F. Souza
Marius Lindauer
Frank Hutter
Luigi Nardi
97
71
0
23 Apr 2022
Accelerating Bayesian Optimization for Biological Sequence Design with
  Denoising Autoencoders
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
Samuel Stanton
Wesley J. Maddox
Nate Gruver
Phillip M. Maffettone
E. Delaney
Peyton Greenside
A. Wilson
BDL
77
98
0
23 Mar 2022
Sparse Bayesian Optimization
Sparse Bayesian Optimization
Sulin Liu
Qing Feng
David Eriksson
Benjamin Letham
E. Bakshy
69
7
0
03 Mar 2022
Predicting the utility of search spaces for black-box optimization: a
  simple, budget-aware approach
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach
Setareh Ariafar
Justin Gilmer
Zachary Nado
Jasper Snoek
Rodolphe Jenatton
George E. Dahl
70
2
0
15 Dec 2021
Regularization in network optimization via trimmed stochastic gradient
  descent with noisy label
Regularization in network optimization via trimmed stochastic gradient descent with noisy label
Kensuke Nakamura
Bong-Soo Sohn
Kyoung-Jae Won
Byung-Woo Hong
NoLa
51
0
0
21 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies
Challenges in Deploying Machine Learning: a Survey of Case Studies
Andrei Paleyes
Raoul-Gabriel Urma
Neil D. Lawrence
71
409
0
18 Nov 2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search
  Spaces
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces
Hung The Tran
Sunil R. Gupta
Santu Rana
Huong Ha
Svetha Venkatesh
78
7
0
05 Sep 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory
  and Practice
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Li Yang
Abdallah Shami
AI4CE
218
2,157
0
30 Jul 2020
Bayesian Optimization with a Prior for the Optimum
Bayesian Optimization with a Prior for the Optimum
Artur L. F. Souza
Luigi Nardi
Leonardo B. Oliveira
K. Olukotun
Marius Lindauer
Frank Hutter
97
8
0
25 Jun 2020
Bayesian Optimization for Policy Search in High-Dimensional Systems via
  Automatic Domain Selection
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection
Lukas P. Frohlich
Edgar D. Klenske
Christian Daniel
Melanie Zeilinger
99
12
0
21 Jan 2020
Adaptive Expansion Bayesian Optimization for Unbounded Global
  Optimization
Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization
Wei Chen
M. Fuge
24
4
0
12 Jan 2020
Bayesian Optimization with Unknown Search Space
Bayesian Optimization with Unknown Search Space
Huong Ha
Santu Rana
Sunil R. Gupta
Thanh Nguyen
Hung The Tran
Svetha Venkatesh
49
23
0
29 Oct 2019
Learning search spaces for Bayesian optimization: Another view of
  hyperparameter transfer learning
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Valerio Perrone
Huibin Shen
Matthias Seeger
Cédric Archambeau
Rodolphe Jenatton
75
97
0
27 Sep 2019
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases
  -- Extended Version
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases -- Extended Version
David Gaudrie
Rodolphe Le Riche
Victor Picheny
B. Enaux
V. Herbert
61
20
0
29 Aug 2019
Adaptive Weight Decay for Deep Neural Networks
Adaptive Weight Decay for Deep Neural Networks
Kensuke Nakamura
Byung-Woo Hong
63
43
0
21 Jul 2019
Sampling Acquisition Functions for Batch Bayesian Optimization
Sampling Acquisition Functions for Batch Bayesian Optimization
Alessandro De Palma
Celestine Mendler-Dünner
Thomas Parnell
Andreea Anghel
H. Pozidis
56
13
0
22 Mar 2019
Bayesian Optimization of Combinatorial Structures
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista
Matthias Poloczek
92
137
0
22 Jun 2018
Bayesian Optimization for Probabilistic Programs
Bayesian Optimization for Probabilistic Programs
Tom Rainforth
T. Le
Jan-Willem van de Meent
Michael A. Osborne
Frank Wood
TPM
72
27
0
13 Jul 2017
Correcting boundary over-exploration deficiencies in Bayesian
  optimization with virtual derivative sign observations
Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations
E. Siivola
Aki Vehtari
J. Vanhatalo
Javier I. González
Michael Riis Andersen
64
26
0
04 Apr 2017
Efficient acquisition rules for model-based approximate Bayesian
  computation
Efficient acquisition rules for model-based approximate Bayesian computation
Marko Jarvenpaa
Michael U. Gutmann
Arijus Pleska
Aki Vehtari
Pekka Marttinen
TPM
202
69
0
03 Apr 2017
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