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Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search
  Approach

Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach

24 October 2018
Rajat Sen
Kirthevasan Kandasamy
Sanjay Shakkottai
ArXiv (abs)PDFHTML

Papers citing "Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach"

13 / 13 papers shown
Title
Optimal Multi-Fidelity Best-Arm Identification
Optimal Multi-Fidelity Best-Arm Identification
Riccardo Poiani
Rémy Degenne
Emilie Kaufmann
Alberto Maria Metelli
Marcello Restelli
364
3
0
05 Jun 2024
FlexHB: a More Efficient and Flexible Framework for Hyperparameter
  Optimization
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization
Yang Zhang
Haiyang Wu
Yuekui Yang
203
1
0
21 Feb 2024
Certified Multi-Fidelity Zeroth-Order Optimization
Certified Multi-Fidelity Zeroth-Order Optimization
Étienne de Montbrun
Sébastien Gerchinovitz
190
2
0
02 Aug 2023
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at ScaleProceedings of the VLDB Endowment (PVLDB), 2022
Yan Zhao
Yu Shen
Huaijun Jiang
Wentao Zhang
Jixiang Li
Ji Liu
Ce Zhang
Tengjiao Wang
148
29
0
18 Jan 2022
Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy,
  and Multi-Fidelity Feedback
Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback
Junxiong Wang
D. Basu
Immanuel Trummer
317
3
0
14 Oct 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space
  Decomposition
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space DecompositionThe VLDB journal (VLDBJ), 2021
Yan Zhao
Yu Shen
Wentao Zhang
Jiawei Jiang
Bolin Ding
...
Jingren Zhou
Zhi-Xin Yang
Wentao Wu
Ce Zhang
Tengjiao Wang
LRM
157
53
0
19 Jul 2021
Online Learning Demands in Max-min Fairness
Online Learning Demands in Max-min Fairness
Kirthevasan Kandasamy
Gur-Eyal Sela
Joseph E. Gonzalez
Sai Li
Ion Stoica
FaML
208
16
0
15 Dec 2020
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality MeasurementsAAAI Conference on Artificial Intelligence (AAAI), 2020
Yan Zhao
Yu Shen
Jiawei Jiang
Jinyang Gao
Ce Zhang
Tengjiao Wang
180
28
0
05 Dec 2020
Verification and Parameter Synthesis for Stochastic Systems using
  Optimistic Optimization
Verification and Parameter Synthesis for Stochastic Systems using Optimistic Optimization
N. Musavi
Dawei Sun
Sayan Mitra
Geir Dullerud
Sanjay Shakkottai
118
2
0
04 Nov 2019
Bayesian Optimization under Heavy-tailed Payoffs
Bayesian Optimization under Heavy-tailed PayoffsNeural Information Processing Systems (NeurIPS), 2019
Sayak Ray Chowdhury
Aditya Gopalan
147
29
0
16 Sep 2019
Mix and Match: An Optimistic Tree-Search Approach for Learning Models
  from Mixture Distributions
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture DistributionsNeural Information Processing Systems (NeurIPS), 2019
Matthew Faw
Rajat Sen
Karthikeyan Shanmugam
Constantine Caramanis
Sanjay Shakkottai
276
3
0
23 Jul 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust
  Bayesian Optimisation with Dragonfly
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Kirthevasan Kandasamy
Karun Raju Vysyaraju
Willie Neiswanger
Biswajit Paria
Christopher R. Collins
J. Schneider
Barnabás Póczós
Eric Xing
229
189
0
15 Mar 2019
Multi-fidelity Gaussian Process Bandit Optimisation
Multi-fidelity Gaussian Process Bandit Optimisation
Kirthevasan Kandasamy
Gautam Dasarathy
Junier B. Oliva
J. Schneider
Barnabás Póczós
253
80
0
20 Mar 2016
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