Few-Shot Bayesian Optimization with Deep Kernel Surrogates

19 January 2021

Papers citing "Few-Shot Bayesian Optimization with Deep Kernel Surrogates"

16 / 16 papers shown

Title
OmniPred: Language Models as Universal Regressors Xingyou Song Oscar Li Chansoo Lee Bangding Yang Daiyi Peng Sagi Perel Yutian Chen 60 14 0 22 Feb 2024
Data-driven Prior Learning for Bayesian Optimisation Sigrid Passano Hellan Christopher G. Lucas Nigel H. Goddard 26 0 0 24 Nov 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 36 3 0 19 Oct 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang Jialin Song James Bowden Alexander Ladd Yisong Yue Thomas Desautels Yuxin Chen 32 6 0 25 Jul 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 42 15 0 06 Jun 2023
Deep Pipeline Embeddings for AutoML Sebastian Pineda Arango Josif Grabocka 36 2 0 23 May 2023
Experience-Based Evolutionary Algorithms for Expensive Optimization Xunzhao Yu Yan Wang Ling Zhu Dimitar Filev Xin Yao 17 2 0 09 Apr 2023
Deep Ranking Ensembles for Hyperparameter Optimization Abdus Salam Khazi Sebastian Pineda Arango Josif Grabocka BDL 39 7 0 27 Mar 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 39 29 0 12 Feb 2023
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach Ankush Chakrabarty 26 9 0 31 Oct 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu Willie Neiswanger Stefano Ermon 38 23 0 27 Jun 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers Yutian Chen Xingyou Song Chansoo Lee Zehao Wang Qiuyi Zhang ... Greg Kochanski Arnaud Doucet MarcÁurelio Ranzato Sagi Perel Nando de Freitas 32 63 0 26 May 2022
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 22 0 0 15 Oct 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 85 455 0 13 Jul 2021
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML Sebastian Pineda Arango H. Jomaa Martin Wistuba Josif Grabocka 24 55 0 11 Jun 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 422 11,715 0 09 Mar 2017