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Practical Bayesian Optimization of Machine Learning Algorithms

Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
ArXivPDFHTML

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

50 / 2,247 papers shown
Title
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
Xinxing Shi
Thomas Baldwin-McDonald
Mauricio A. Álvarez
79
0
0
01 Jul 2024
A Linear Programming Enhanced Genetic Algorithm for Hyperparameter
  Tuning in Machine Learning
A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning
Ankur Sinha
Paritosh Pankaj
38
0
0
30 Jun 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights
Improving Hyperparameter Optimization with Checkpointed Model Weights
Nikhil Mehta
Jonathan Lorraine
Steve Masson
Ramanathan Arunachalam
Zaid Pervaiz Bhat
James Lucas
Arun George Zachariah
53
4
0
26 Jun 2024
Automated Privacy-Preserving Techniques via Meta-Learning
Automated Privacy-Preserving Techniques via Meta-Learning
Tânia Carvalho
Nuno Moniz
Luís Antunes
59
0
0
24 Jun 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
Jacob O. Tørring
Carl Hvarfner
Luigi Nardi
Magnus Sjalander
63
0
0
24 Jun 2024
Preferential Multi-Objective Bayesian Optimization
Preferential Multi-Objective Bayesian Optimization
Raul Astudillo
Kejun Li
Maegan Tucker
Chu Xin Cheng
Aaron D. Ames
Yisong Yue
48
2
0
20 Jun 2024
SCORE: A 1D Reparameterization Technique to Break Bayesian
  Optimization's Curse of Dimensionality
SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization's Curse of Dimensionality
Joseph Chakar
32
0
0
18 Jun 2024
Solving Vision Tasks with Simple Photoreceptors Instead of Cameras
Solving Vision Tasks with Simple Photoreceptors Instead of Cameras
Andrei Atanov
Jiawei Fu
Rishubh Singh
Isabella Yu
Andrew Spielberg
Amir Zamir
52
1
0
17 Jun 2024
Optimizing Instructions and Demonstrations for Multi-Stage Language
  Model Programs
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
Krista Opsahl-Ong
Michael J Ryan
Josh Purtell
David Broman
Christopher Potts
Matei A. Zaharia
Omar Khattab
43
26
0
17 Jun 2024
HIRO: Hierarchical Information Retrieval Optimization
HIRO: Hierarchical Information Retrieval Optimization
Krish Goel
Mahek Chandak
RALM
42
1
0
14 Jun 2024
Understanding active learning of molecular docking and its applications
Understanding active learning of molecular docking and its applications
Jeonghyeon Kim
Juno Nam
Seongok Ryu
37
0
0
14 Jun 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
34
0
0
11 Jun 2024
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity
  Bayesian Optimization
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization
Kaige Tan
Xuezhi Niu
Qinglei Ji
Lei Feng
Martin Törngren
41
1
0
11 Jun 2024
Beyond Trend Following: Deep Learning for Market Trend Prediction
Beyond Trend Following: Deep Learning for Market Trend Prediction
Fernando Berzal
Alberto Garcia
42
0
0
10 Jun 2024
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
K. Nicoli
Christopher J. Anders
L. Funcke
T. Hartung
Karl Jansen
Stefan Kühn
Klaus-Robert Müller
Paolo Stornati
Pan Kessel
Shinichi Nakajima
37
11
0
10 Jun 2024
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go
  Approximation
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation
Alexandre Hayderi
Amin Saberi
Ellen Vitercik
Anders Wikum
36
0
0
10 Jun 2024
FunBO: Discovering Acquisition Functions for Bayesian Optimization with
  FunSearch
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
Virginia Aglietti
Ira Ktena
Jessica Schrouff
Eleni Sgouritsa
Francisco J. R. Ruiz
Alan Malek
Alexis Bellot
Silvia Chiappa
40
3
0
07 Jun 2024
A survey and benchmark of high-dimensional Bayesian optimization of
  discrete sequences
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Miguel González Duque
Richard Michael
Simon Bartels
Yevgen Zainchkovskyy
Søren Hauberg
Wouter Boomsma
44
4
0
07 Jun 2024
Approximation-Aware Bayesian Optimization
Approximation-Aware Bayesian Optimization
Natalie Maus
Kyurae Kim
Geoff Pleiss
David Eriksson
John P. Cunningham
Jacob R. Gardner
31
2
0
06 Jun 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm
Position: A Call to Action for a Human-Centered AutoML Paradigm
Marius Lindauer
Florian Karl
A. Klier
Julia Moosbauer
Alexander Tornede
Andreas Mueller
Frank Hutter
Matthias Feurer
Bernd Bischl
41
6
0
05 Jun 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity
  Constraints
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
Arpan Losalka
Jonathan Scarlett
31
2
0
05 Jun 2024
Bayesian Mesh Optimization for Graph Neural Networks to Enhance
  Engineering Performance Prediction
Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction
Jangseop Park
Namwoo Kang
AI4CE
21
2
0
04 Jun 2024
LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments
LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments
Zikun Ye
Hema Yoganarasimhan
Yufeng Zheng
44
2
0
03 Jun 2024
Covariance-Adaptive Sequential Black-box Optimization for Diffusion
  Targeted Generation
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation
Yueming Lyu
Kim yong Tan
Yew-Soon Ong
Ivor W. Tsang
DiffM
48
1
0
02 Jun 2024
Relevance-aware Algorithmic Recourse
Relevance-aware Algorithmic Recourse
Dongwhi Kim
Nuno Moniz
28
0
0
29 May 2024
A Mallows-like Criterion for Anomaly Detection with Random Forest
  Implementation
A Mallows-like Criterion for Anomaly Detection with Random Forest Implementation
Gaoxiang Zhao
Lu Wang
Xiaoqiang Wang
24
0
0
29 May 2024
Model-Based Diffusion for Trajectory Optimization
Model-Based Diffusion for Trajectory Optimization
Chaoyi Pan
Zeji Yi
Guanya Shi
Guannan Qu
49
6
0
28 May 2024
Learning from Uncertain Data: From Possible Worlds to Possible Models
Learning from Uncertain Data: From Possible Worlds to Possible Models
Jiongli Zhu
Su Feng
Boris Glavic
Babak Salimi
37
0
0
28 May 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
J. Lin
Shreyas Padhy
Bruno Mlodozeniec
Javier Antorán
José Miguel Hernández-Lobato
43
2
0
28 May 2024
Warm Start Marginal Likelihood Optimisation for Iterative Gaussian
  Processes
Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes
J. Lin
Shreyas Padhy
Bruno Mlodozeniec
José Miguel Hernández-Lobato
29
1
0
28 May 2024
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of
  Learning Curve Extrapolation
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation
Dong Bok Lee
Aoxuan Silvia Zhang
Byung-Hoon Kim
Junhyeon Park
Juho Lee
Sung Ju Hwang
Haebeom Lee
34
1
0
28 May 2024
BO4IO: A Bayesian optimization approach to inverse optimization with
  uncertainty quantification
BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification
Yen-An Lu
Wei-Shou Hu
J. Paulson
Qi Zhang
33
1
0
28 May 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded
  Exploration in the Energy-Based Latent Space
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space
Peiyu Yu
Dinghuai Zhang
Hengzhi He
Xiaojian Ma
Ruiyao Miao
...
Deqian Kong
Ruiqi Gao
Jianwen Xie
Guang Cheng
Ying Nian Wu
48
5
0
27 May 2024
Attaining Human`s Desirable Outcomes in Human-AI Interaction via
  Structural Causal Games
Attaining Human`s Desirable Outcomes in Human-AI Interaction via Structural Causal Games
Anjie Liu
Jianhong Wang
Haoxuan Li
Xu Chen
Jun Wang
Samuel Kaski
Girish A. Koushik
44
0
0
26 May 2024
Minimizing UCB: a Better Local Search Strategy in Local Bayesian
  Optimization
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization
Zheyi Fan
Wenyu Wang
Szu Hui Ng
Q. Hu
24
1
0
24 May 2024
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel
  Search and Subsampling
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling
Shifan Zhao
Jiaying Lu
Carl Yang
Edmond Chow
Yuanzhe Xi
44
1
0
22 May 2024
Unleash Graph Neural Networks from Heavy Tuning
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
27
2
0
21 May 2024
An adaptive approach to Bayesian Optimization with switching costs
An adaptive approach to Bayesian Optimization with switching costs
Stefan Pricopie
Richard Allmendinger
Manuel López-Ibánez
Clyde Fare
Matt Benatan
Joshua D. Knowles
16
0
0
14 May 2024
Expensive Multi-Objective Bayesian Optimization Based on Diffusion
  Models
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
Bingdong Li
Zixiang Di
Yongfan Lu
Hong Qian
Feng Wang
Peng Yang
Ke Tang
Aimin Zhou
DiffM
26
1
0
14 May 2024
CAGES: Cost-Aware Gradient Entropy Search for Efficient Local
  Multi-Fidelity Bayesian Optimization
CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization
Wei-Ting Tang
J. Paulson
17
1
0
13 May 2024
Physics-data hybrid dynamic model of a multi-axis manipulator for
  sensorless dexterous manipulation and high-performance motion planning
Physics-data hybrid dynamic model of a multi-axis manipulator for sensorless dexterous manipulation and high-performance motion planning
Wu-Te Yang
Jyun-Ming Liao
Pei-Chun Lin
21
0
0
07 May 2024
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids
  Using Autoencoder Graph Convolutional Networks
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks
Gabriele Immordino
Andrea Vaiuso
A. Ronch
Marcello Righi
AI4CE
21
3
0
07 May 2024
Position: Leverage Foundational Models for Black-Box Optimization
Position: Leverage Foundational Models for Black-Box Optimization
Xingyou Song
Yingtao Tian
Robert Tjarko Lange
Chansoo Lee
Yujin Tang
Yutian Chen
42
5
0
06 May 2024
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization
S. Reifenstein
T. Leleu
Yoshihisa Yamamoto
48
1
0
02 May 2024
VIEW: Visual Imitation Learning with Waypoints
VIEW: Visual Imitation Learning with Waypoints
Ananth Jonnavittula
Sagar Parekh
Dylan P. Losey
SSL
91
9
0
27 Apr 2024
Evolve Cost-aware Acquisition Functions Using Large Language Models
Evolve Cost-aware Acquisition Functions Using Large Language Models
Yiming Yao
Fei Liu
Ji Cheng
Qingfu Zhang
51
7
0
25 Apr 2024
Sample Design Engineering: An Empirical Study of What Makes Good
  Downstream Fine-Tuning Samples for LLMs
Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs
Biyang Guo
He Wang
Wenyilin Xiao
Hong Chen
Zhuxin Lee
Songqiao Han
Hailiang Huang
27
2
0
19 Apr 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Dawei Zhan
54
5
0
18 Apr 2024
Spatio-Temporal Motion Retargeting for Quadruped Robots
Spatio-Temporal Motion Retargeting for Quadruped Robots
Taerim Yoon
Dongho Kang
Seungmin Kim
Minsung Ahn
Stelian Coros
Sungjoon Choi
37
3
0
17 Apr 2024
Pre-processing matters: A segment search method for WSI classification
Pre-processing matters: A segment search method for WSI classification
Jun Wang
Yufei Cui
Yu Mao
Nan Guan
Chun Jason Xue
29
0
0
17 Apr 2024
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