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Exploring Bayesian Optimization · Study

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ArticleExploring Bayesian Optimization

Apoorv Agnihotri2020

OA

Articlediamond2020

Exploring Bayesian Optimization

Apoorv Agnihotri · Nipun Batra

67 citations·0/0 files stored·Distill

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Advanced Bandit Algorithms Research Advanced Multi-Objective Optimization Algorithms Gaussian Processes and Bayesian Inference

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References

2012Practical Bayesian Optimization of Machine Learning Algorithms 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning 2016Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization 2003Using confidence bounds for exploitation-exploration trade-offs 2017Hyperband: a novel bandit-based approach to hyperparameter optimization 2015Scalable Bayesian Optimization Using Deep Neural Networks

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2021Bayesian Optimization in High-Dimensional Spaces: A Brief Surveyother · 7 shared references 2019Sequential model based optimization of partially defined functions under unknown constraintsarticle · 7 shared references 2019Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonflypreprint · 6 shared references 2016Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasetspreprint · 5 shared references 2019Bayesian Optimization for Accelerating Hyper-Parameter Tuningother · 5 shared references 2017Fast Bayesian hyperparameter optimization on large datasetsarticle · 5 shared references

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Year2020

Typearticle

Published2020-05-05

VenueDistill

ISSN-L2476-0757

Languageen

Citations67

Files0 public / 0

ShelfAdvanced Bandit Algorithms Research

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doi10.23915/distill.00026

openalex_workW3022574334

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