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Few-Shot Bayesian Optimization with Deep Kernel Surrogates

Few-Shot Bayesian Optimization with Deep Kernel Surrogates

19 January 2021
Martin Wistuba
Josif Grabocka
    BDL
ArXivPDFHTML

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

13 / 13 papers shown
Title
OmniPred: Language Models as Universal Regressors
OmniPred: Language Models as Universal Regressors
Xingyou Song
Oscar Li
Chansoo Lee
Bangding Yang
Daiyi Peng
Sagi Perel
Yutian Chen
53
14
0
22 Feb 2024
Data-driven Prior Learning for Bayesian Optimisation
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
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning
Huan Zhang
Jinliang Ding
Liang Feng
Kay Chen Tan
Ke Li
29
3
0
19 Oct 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive
  Level-Set Estimation
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
Fengxue Zhang
Jialin Song
James Bowden
Alexander Ladd
Yisong Yue
Thomas A. Desautels
Yuxin Chen
30
6
0
25 Jul 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Sebastian Pineda Arango
Fabio Ferreira
Arlind Kadra
Frank Hutter
Frank Hutter Josif Grabocka
29
15
0
06 Jun 2023
Deep Pipeline Embeddings for AutoML
Deep Pipeline Embeddings for AutoML
Sebastian Pineda Arango
Josif Grabocka
28
2
0
23 May 2023
Experience-Based Evolutionary Algorithms for Expensive Optimization
Experience-Based Evolutionary Algorithms for Expensive Optimization
Xunzhao Yu
Yan Wang
Ling Zhu
Dimitar Filev
Xin Yao
9
2
0
09 Apr 2023
Deep Ranking Ensembles for Hyperparameter Optimization
Deep Ranking Ensembles for Hyperparameter Optimization
Abdus Salam Khazi
Sebastian Pineda Arango
Josif Grabocka
BDL
31
7
0
27 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
Bin Cui
BDL
37
29
0
12 Feb 2023
Optimizing Closed-Loop Performance with Data from Similar Systems: A
  Bayesian Meta-Learning Approach
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach
Ankush Chakrabarty
17
9
0
31 Oct 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
Towards Learning Universal Hyperparameter Optimizers with Transformers
Yutian Chen
Xingyou Song
Chansoo Lee
Z. Wang
Qiuyi Zhang
...
Greg Kochanski
Arnaud Doucet
MarcÁurelio Ranzato
Sagi Perel
Nando de Freitas
24
63
0
26 May 2022
Improving Hyperparameter Optimization by Planning Ahead
Improving Hyperparameter Optimization by Planning Ahead
H. Jomaa
Jonas K. Falkner
Lars Schmidt-Thieme
22
0
0
15 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,681
0
09 Mar 2017
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