Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of
Learning Curve Extrapolation

Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation

28 May 2024

Aoxuan Silvia Zhang

Papers citing "Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation"

15 / 15 papers shown

Title
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen Aditya Grover BDL UQCV 75 106 0 09 Jul 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 71 169 0 20 Dec 2021
Few-Shot Bayesian Optimization with Deep Kernel Surrogates Martin Wistuba Josif Grabocka BDL 83 70 0 19 Jan 2021
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 70 77 0 07 Dec 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks Shibo Li Wei W. Xing Mike Kirby Shandian Zhe 37 54 0 06 Jul 2020
Using a thousand optimization tasks to learn hyperparameter search strategies Luke Metz Niru Maheswaranathan Ruoxi Sun C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 73 46 0 27 Feb 2020
Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings Matilde Gargiani Aaron Klein Stefan Falkner Frank Hutter BDL 52 11 0 10 Oct 2019
A System for Massively Parallel Hyperparameter Tuning Liam Li Kevin Jamieson Afshin Rostamizadeh Ekaterina Gonina Moritz Hardt Benjamin Recht Ameet Talwalkar 63 384 0 13 Oct 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 203 1,096 0 04 Jul 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 278 9,760 0 25 Oct 2017
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 169 5,000 0 27 Jun 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 222 2,327 0 21 Mar 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 243 885 0 06 Nov 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,525 0 01 Sep 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 353 7,936 0 13 Jun 2012