Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

50 / 2,247 papers shown

Title
Large Language Models to Enhance Bayesian Optimization Tennison Liu Nicolás Astorga Nabeel Seedat M. Schaar 66 48 0 06 Feb 2024
PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks Dat Phan-Trong Hung The Tran A. Shilton Sunil R. Gupta 41 0 0 05 Feb 2024
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy Lam Ngo Huong Ha Jeffrey Chan Vu-Linh Nguyen Hongyu Zhang 31 2 0 05 Feb 2024
On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions Mike Diessner Kevin J. Wilson Richard D. Whalley 24 0 0 05 Feb 2024
Poisson Process for Bayesian Optimization Xiaoxing Wang Jiaxing Li Chao Xue Wei Liu Weifeng Liu Xiaokang Yang Junchi Yan Dacheng Tao 29 1 0 05 Feb 2024
Breaking MLPerf Training: A Case Study on Optimizing BERT Yongdeok Kim Jaehyung Ahn Myeongwoo Kim Changin Choi Heejae Kim ... Xiongzhan Linghu Jingkun Ma Lin Chen Yuehua Dai Sungjoo Yoo 25 0 0 04 Feb 2024
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning Jiacheng Chen Zeyuan Ma Hongshu Guo Yining Ma Jie Zhang Yue-jiao Gong 35 12 0 04 Feb 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 34 17 0 03 Feb 2024
Flexible Parallel Neural Network Architecture Model for Early Prediction of Lithium Battery Life Lidang Jiang Zhuoxiang Li Changyan Hu Qingsong Huang Ge He 24 2 0 29 Jan 2024
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints Hui-Li Zhang Zi Xu Yuhong Dai 24 1 0 26 Jan 2024
Producing Plankton Classifiers that are Robust to Dataset Shift Cheng Chen S. Kyathanahally Marta Reyes Stefanie Merkli E. Merz Emanuele Francazi Marvin Hoege F. Pomati Marco Baity-Jesi 23 2 0 25 Jan 2024
Explainable Bayesian Optimization Tanmay Chakraborty Christin Seifert Christian Wirth 61 5 0 24 Jan 2024
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 14 2 0 23 Jan 2024
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization Jiazhao Zhang Ying Hung Chung-Ching Lin Zicheng Liu 15 0 0 19 Jan 2024
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach Aron Brenner Rahman Khorramfar D. Mallapragada Saurabh Amin 21 0 0 19 Jan 2024
Personality Trait Inference Via Mobile Phone Sensors: A Machine Learning Approach Wun Yung Shaney Sze Maryglen Pearl Herrero Roger Garriga 15 0 0 18 Jan 2024
A Comparative Analysis on Metaheuristic Algorithms Based Vision Transformer Model for Early Detection of Alzheimer's Disease Anuvab Sen Udayon Sen Subhabrata Roy 23 3 0 18 Jan 2024
Sea ice detection using concurrent multispectral and synthetic aperture radar imagery Martin S J Rogers Maria Fox Andrew Fleming Louisa van Zeeland Jeremy Wilkinson J. S. Hosking 14 4 0 11 Jan 2024
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications Xijun Li Fangzhou Zhu Hui-Ling Zhen Weilin Luo Meng Lu ... Jia Zeng M. Yuan Jianye Hao Jun Yao Kun Mao 38 2 0 11 Jan 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC Zeji Yi Yunyue Wei Chu Xin Cheng Kaibo He Yanan Sui 27 5 0 05 Jan 2024
User authentication system based on human exhaled breath physics Mukesh Karunanethy Rahul Tripathi M. Panchagnula R. Rengaswamy OOD 18 0 0 02 Jan 2024
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation Melrose Roderick Felix Berkenkamp Fatemeh Sheikholeslami Zico Kolter UQCV 18 0 0 29 Dec 2023
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance Taicai Chen Yue Duan Dong Li Lei Qi Yinghuan Shi Yang Gao BDL DRL 29 5 0 28 Dec 2023
Deep Learning for Efficient GWAS Feature Selection Kexuan Li 24 0 0 22 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models En-hao Liu Xuefei Ning Huazhong Yang Yu Wang DiffM 39 11 0 12 Dec 2023
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML Giorgos Borboudakis Paulos Charonyktakis Konstantinos Paraschakis Ioannis Tsamardinos 19 0 0 11 Dec 2023
Physics-Aware Multifidelity Bayesian Optimization: a Generalized Formulation Francesco Di Fiore L. Mainini AI4CE 11 4 0 10 Dec 2023
Perspectives on the State and Future of Deep Learning - 2023 Micah Goldblum A. Anandkumar Richard Baraniuk Tom Goldstein Kyunghyun Cho Zachary Chase Lipton Melanie Mitchell Preetum Nakkiran Max Welling Andrew Gordon Wilson 61 4 0 07 Dec 2023
Using Large Language Models for Hyperparameter Optimization Michael Ruogu Zhang Nishkrit Desai Juhan Bae Jonathan Lorraine Jimmy Ba 34 51 0 07 Dec 2023
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
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data M. Olson Shusen Liu Jayaraman J. Thiagarajan B. Kustowski Weng-Keen Wong Rushil Anirudh AI4CE 36 1 0 06 Dec 2023
From concrete mixture to structural design -- a holistic optimization procedure in the presence of uncertainties A. Agrawal Erik Tamsen P. Koutsourelakis Joerg F. Unger 34 3 0 06 Dec 2023
Bootstrap Your Own Variance Polina Turishcheva Jason Ramapuram Sinead Williamson Dan Busbridge Eeshan Gunesh Dhekane Russ Webb UQCV 26 0 0 06 Dec 2023
Scalable Meta-Learning with Gaussian Processes Petru Tighineanu Lukas Großberger P. Baireuther Kathrin Skubch Stefan Falkner Julia Vinogradska Felix Berkenkamp 31 4 0 01 Dec 2023
Practical Path-based Bayesian Optimization Jose Pablo Folch J. Odgers Shiqiang Zhang Robert M. Lee B. Shafei David Walz Calvin Tsay Mark van der Wilk Ruth Misener 44 2 0 01 Dec 2023
Symbolic Learning for Material Discovery Daniel Cunnington F. Cipcigan Rodrigo Neumann Barros Ferreira Jonathan Booth 14 1 0 30 Nov 2023
Practical Layout-Aware Analog/Mixed-Signal Design Automation with Bayesian Neural Networks A. Budak Keren Zhu Yao Lai 19 3 0 27 Nov 2023
A systematic study comparing hyperparameter optimization engines on tabular data Balazs Kegl 23 1 0 27 Nov 2023
Domain Knowledge Injection in Bayesian Search for New Materials Zikai Xie Xenophon Evangelopoulos Joseph C. R. Thacker Andrew I. Cooper 30 2 0 26 Nov 2023
Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators A. Agrawal Kislaya Ravi P. Koutsourelakis H. Bungartz 46 5 0 25 Nov 2023
A General Framework for User-Guided Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi GP 47 12 0 24 Nov 2023
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus Gabriele Maroni Loris Cannelli Dario Piga 22 0 0 23 Nov 2023
On the Hyperparameter Loss Landscapes of Machine Learning Models: An Exploratory Study Mingyu Huang Ke Li 22 3 0 23 Nov 2023
Deep-learning-based acceleration of MRI for radiotherapy planning of pediatric patients with brain tumors Shahinur Alam J. Uh Alexander Dresner Chia-Ho Hua Khaled Khairy MedIm 23 0 0 22 Nov 2023
What Can AutoML Do For Continual Learning? Mert Kilickaya Joaquin Vanschoren 30 1 0 20 Nov 2023
LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions E. Visser C. E. V. Daalen J. C. Schoeman 45 0 0 19 Nov 2023
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers Vukasin Bozic Danilo Dordevic Daniele Coppola J. Thommes Sidak Pal Singh 10 10 0 17 Nov 2023
Show Your Work with Confidence: Confidence Bands for Tuning Curves Nicholas Lourie Kyunghyun Cho He He 23 2 0 16 Nov 2023
Non-Uniform Smoothness for Gradient Descent A. Berahas Lindon Roberts Fred Roosta 40 3 0 15 Nov 2023