Peter Frazier
17 papers · 2007–2023 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(3)
π¬
Deep Specialist
(14)
π
Keyword Champion
(4)
π§
Keyword Pioneer
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(72)
π
Trend Setter
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(14)
Artificial Intelligence
(11)
Mathematics & Optimization
(8)
Optimization
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(6)
Bayesian & Probabilistic Β· Machine Learning
(6)
Learning Types
(5)
Core AI
(4)
Learning Paradigms
(3)
Computer Vision
(1)
Deep Learning
(1)
Interdisciplinary
(1)
Application Areas
(1)
Cognitive Science
(1)
Keywords
bayesian optimization
(12)
acquisition function
(7)
gaussian process
(5)
expected improvement
(4)
bayesian inference
(3)
preference learning
(2)
knowledge gradient
(2)
sequential optimization
(2)
target localization
(2)
markov decision process
(2)
decision theory
(2)
utility function
(2)
exploration-exploitation tradeoff
(1)
decision making
(1)
posterior distribution
(1)
regret minimization
(1)
stochastic gradient
(1)
sequential decision
(1)
entropy minimization
(1)
sequential hypothesis testing
(1)
Papers
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization
AISTATS 2023
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes
AISTATS 2022
Bayesian Optimization of Function Networks
NeurIPS 2021
Constrained Two-step Look-Ahead Bayesian Optimization
NeurIPS 2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
NeurIPS 2021
Bayesian Optimization of Risk Measures
NeurIPS 2020
Multi-attribute Bayesian optimization with interactive preference learning
AISTATS 2020
Bayesian Optimization of Composite Functions
ICML 2019
Practical Two-Step Lookahead Bayesian Optimization
NeurIPS 2019
Incentivizing Exploration by Heterogeneous Users
COLT 2018
Bayesian Optimization with Gradients
NeurIPS 2017
Multi-Information Source Optimization
NeurIPS 2017
Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies
AISTATS 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
NeurIPS 2016
Bayesian Multiple Target Localization
ICML 2015
An Optimal Policy for Target Localization with Application to Electron Microscopy
ICML 2013
Sequential Hypothesis Testing under Stochastic Deadlines
NeurIPS 2007