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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
ArXivPDFHTML

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

5 / 5 papers shown
Title
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space
  Decomposition
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li
Yu Shen
Wentao Zhang
Jiawei Jiang
Bolin Ding
...
Jingren Zhou
Zhi-Xin Yang
Wentao Wu
Ce Zhang
Bin Cui
LRM
29
44
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
Michael I. Jordan
Ion Stoica
FaML
14
15
0
15 Dec 2020
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 Distributions
Matthew Faw
Rajat Sen
Karthikeyan Shanmugam
C. Caramanis
Sanjay Shakkottai
36
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
29
174
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
14
76
0
20 Mar 2016
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