SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Distributed Batch Gaussian Process Optimization · Study

WorkDistributed Batch Gaussian Process Optimization

Erik Daxberger2017

Work2017

Distributed Batch Gaussian Process Optimization

Erik Daxberger · Bryan Kian Hsiang Low

32 citations·0/0 files stored·International Conference on Machine Learning

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Advanced Bandit Algorithms Research Simulation Techniques and Applications Gaussian Processes and Bayesian Inference

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 32 citations exist upstream.

References

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 1987Maximum entropy sampling 2012Entropy search for information-efficient global optimization 2014Predictive Entropy Search for Efficient Global Optimization of Black-box Functions 2012Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization 2008Practical Bayesian optimization

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2016Batched Gaussian Process Bandit Optimization via Determinantal Point Processespreprint · 8 shared references 2015Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functionspreprint · 6 shared references 2019Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonflypreprint · 6 shared references 2017Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Spacepreprint · 6 shared references 2019Bayesian Optimisation over Multiple Continuous and Categorical Inputspreprint · 6 shared references 2022Bayesian optimization techniques for high-dimensional simulation-based transportation problemsarticle · 6 shared references

Details

Year2017

Typeother

Published2017-07-17

VenueInternational Conference on Machine Learning

Languageen

Citations32

Files0 public / 0

ShelfAdvanced Bandit Algorithms Research

Identifiers

openalex_workW2741680045

Links

landingopen

Imported from OpenAlex (CC0) — nothing here is generated.