Peter I. Frazier

According to our database1, Peter I. Frazier authored at least 77 papers between 2007 and 2020.

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Bibliography

2020
Bayesian Optimization of Risk Measures.
CoRR, 2020

Matching Queues, Flexibility and Incentives.
CoRR, 2020

Multi-attribute Bayesian optimization with interactive preference learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Probabilistic Bisection Converges Almost as Quickly as Stochastic Approximation.
Math. Oper. Res., 2019

Bayesian Optimization with Uncertain Preferences over Attributes.
CoRR, 2019

Information Design in Spatial Resource Competition.
Proceedings of the Web and Internet Economics - 15th International Conference, 2019

Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Practical Two-Step Lookahead Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bayesian Optimization of Composite Functions.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
A Tutorial on Bayesian Optimization.
CoRR, 2018

Bayesian Optimization with Expensive Integrands.
CoRR, 2018

Effort Allocation and Statistical Inference for 1-dimensional Multistart stochastic Gradient Descent.
Proceedings of the 2018 Winter Simulation Conference, 2018

Bridging the Gap from Academic Research to Industry Impact.
Proceedings of the 2018 Winter Simulation Conference, 2018

Surge Pricing Moves Uber's Driver-Partners.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Incentivizing Exploration by Heterogeneous Users.
Proceedings of the Conference On Learning Theory, 2018

2017
Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss.
IEEE Trans. Inf. Theory, 2017

Mean Field Equilibria for Resource Competition in Spatial Settings.
CoRR, 2017

Bayes-Optimal Entropy Pursuit for Active Choice-Based Preference Learning.
CoRR, 2017

Bayesian Optimization with Gradients.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-Information Source Optimization.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dueling Bandits with Weak Regret.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Coupled bisection for root ordering.
Oper. Res. Lett., 2016

Bayesian Optimization via Simulation with Pairwise Sampling and Correlated Prior Beliefs.
Oper. Res., 2016

Stratified Bayesian Optimization.
CoRR, 2016

Dueling Bandits with Dependent Arms.
CoRR, 2016

Multi-Step Bayesian Optimization for One-Dimensional Feasibility Determination.
CoRR, 2016

Mean Field Equilibria for Competitive Exploration in Resource Sharing Settings.
Proceedings of the 25th International Conference on World Wide Web, 2016

Preface.
Proceedings of the Winter Simulation Conference, WSC 2016, 2016

Warm starting Bayesian optimization.
Proceedings of the Winter Simulation Conference, WSC 2016, 2016

The Parallel Knowledge Gradient Method for Batch Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Unbiased Comparative Evaluation of Ranking Functions.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

The Bayesian Linear Information Filtering Problem.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution.
Trans. Assoc. Comput. Linguistics, 2015

A New Optimal Stepsize for Approximate Dynamic Programming.
IEEE Trans. Autom. Control., 2015

Distance Dependent Infinite Latent Feature Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Clustering via Content-Augmented Stochastic Blockmodels.
CoRR, 2015

Asymptotic validity of the bayes-inspired indifference zone procedure: the non-normal known variance case.
Proceedings of the 2015 Winter Simulation Conference, 2015

Bayesian Multiple Target Localization.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Predicting Bike Usage for New York City's Bike Sharing System.
Proceedings of the Computational Sustainability, 2015

2014
A Fully Sequential Elimination Procedure for Indifference-Zone Ranking and Selection with Tight Bounds on Probability of Correct Selection.
Oper. Res., 2014

A Markov Decision Process Analysis of the Cold Start Problem in Bayesian Information Filtering.
CoRR, 2014

Exploration vs. Exploitation in the Information Filtering Problem.
CoRR, 2014

Twenty Questions for Localizing Multiple Objects by Counting: Bayes Optimal Policies for Entropy Loss.
CoRR, 2014

Multisection: parallelized bisection.
Proceedings of the 2014 Winter Simulation Conference, 2014

Parallel bayesian policies for finite-horizon multiple comparisons with a known standard.
Proceedings of the 2014 Winter Simulation Conference, 2014

Incentivizing exploration.
Proceedings of the ACM Conference on Economics and Computation, 2014

2013
Bisection Search with Noisy Responses.
SIAM J. Control. Optim., 2013

Sequential Bayes-Optimal Policies for Multiple Comparisons with a Known Standard.
Oper. Res., 2013

ALE: a generic assembly likelihood evaluation framework for assessing the accuracy of genome and metagenome assemblies.
Bioinform., 2013

Upper bounds on the Bayes-optimal procedure for ranking & selection with independent normal priors.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

An Optimal Policy for Target Localization with Application to Electron Microscopy.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
A Framework for Selecting a Selection Procedure.
ACM Trans. Model. Comput. Simul., 2012

Sequential Sampling with Economics of Selection Procedures.
Manag. Sci., 2012

Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss.
J. Appl. Probab., 2012

The Knowledge Gradient Algorithm for a General Class of Online Learning Problems.
Oper. Res., 2012

Sequential screening: a Bayesian dynamic programming analysis of optimal group-splitting.
Proceedings of the Winter Simulation Conference, 2012

Optimization via simulation with Bayesian statistics and dynamic programming.
Proceedings of the Winter Simulation Conference, 2012

Optimization of computationally expensive simulations with Gaussian processes and parameter uncertainty: Application to cardiovascular surgery.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression.
SIAM J. Optim., 2011

Consistency of Sequential Bayesian Sampling Policies.
SIAM J. Control. Optim., 2011

Hierarchical Knowledge Gradient for Sequential Sampling.
J. Mach. Learn. Res., 2011

Distance Dependent Chinese Restaurant Processes.
J. Mach. Learn. Res., 2011

The Knowledge-Gradient Algorithm for Sequencing Experiments in Drug Discovery.
INFORMS J. Comput., 2011

A Bayesian approach to stochastic root finding.
Proceedings of the Winter Simulation Conference 2011, 2011

Value of information methods for pairwise sampling with correlations.
Proceedings of the Winter Simulation Conference 2011, 2011

Guessing preferences: a new approach to multi-attribute ranking and selection.
Proceedings of the Winter Simulation Conference 2011, 2011

2010
On the robustness of a one-period look-ahead policy in multi-armed bandit problems.
Proceedings of the International Conference on Computational Science, 2010

Paradoxes in Learning and the Marginal Value of Information.
Decis. Anal., 2010

Performance measures for Ranking and Selection procedures.
Proceedings of the 2010 Winter Simulation Conference, 2010

2009
The Knowledge-Gradient Policy for Correlated Normal Beliefs.
INFORMS J. Comput., 2009

Simulation Model Calibration with Correlated Knowledge-gradients.
Proceedings of the 2009 Winter Simulation Conference, 2009

The Conjunction of the Knowledge Gradient and the Economic Approach to Simulation Selection.
Proceedings of the 2009 Winter Simulation Conference, 2009

Approximate Dynamic Programming in Knowledge Discovery for Rapid Response.
Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

2008
A Knowledge-Gradient Policy for Sequential Information Collection.
SIAM J. Control. Optim., 2008

The knowledge-gradient stopping rule for ranking and selection.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

2007
Sequential Hypothesis Testing under Stochastic Deadlines.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007


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