Sequential Hypothesis Testing under Stochastic Deadlines. - Peter I. Frazier; Angela J. Yu (NIPS, 2007)

The knowledge-gradient stopping rule for ranking and selection. - Peter I. Frazier; Warren B. Powell (WSC, 2008)

A Knowledge-Gradient Policy for Sequential Information Collection. - Peter I. Frazier; Warren B. Powell; Savas Dayanik (SIAM J. Control. Optim., 2008)

Approximate Dynamic Programming in Knowledge Discovery for Rapid Response. - Peter I. Frazier; Warren B. Powell; Savas Dayanik; Paul B. Kantor (HICSS, 2009)

The Conjunction of the Knowledge Gradient and the Economic Approach to Simulation Selection. - Stephen E. Chick; Peter I. Frazier (WSC, 2009)

Simulation Model Calibration with Correlated Knowledge-gradients. - Peter I. Frazier; Warren B. Powell; Hugo P. Simão (WSC, 2009)

The Knowledge-Gradient Policy for Correlated Normal Beliefs. - Peter I. Frazier; Warren B. Powell; Savas Dayanik (INFORMS J. Comput., 2009)

Performance measures for Ranking and Selection procedures. - Rolf Waeber; Peter I. Frazier; Shane G. Henderson (WSC, 2010)

Paradoxes in Learning and the Marginal Value of Information. - Peter I. Frazier; Warren B. Powell (Decis. Anal., 2010)

On the robustness of a one-period look-ahead policy in multi-armed bandit problems. - Ilya O. Ryzhov; Peter I. Frazier; Warren B. Powell (ICCS, 2010)

Guessing preferences: a new approach to multi-attribute ranking and selection. - Peter I. Frazier; Aleksandr M. Kazachkov (WSC, 2011)

Value of information methods for pairwise sampling with correlations. - Peter I. Frazier; Jing Xie 009; Stephen E. Chick (WSC, 2011)

A Bayesian approach to stochastic root finding. - Rolf Waeber; Peter I. Frazier; Shane G. Henderson (WSC, 2011)

The Knowledge-Gradient Algorithm for Sequencing Experiments in Drug Discovery. - Diana M. Negoescu; Peter I. Frazier; Warren B. Powell (INFORMS J. Comput., 2011)

Distance Dependent Chinese Restaurant Processes. - David M. Blei; Peter I. Frazier (J. Mach. Learn. Res., 2011)

Hierarchical Knowledge Gradient for Sequential Sampling. - Martijn R. K. Mes; Warren B. Powell; Peter I. Frazier (J. Mach. Learn. Res., 2011)

Consistency of Sequential Bayesian Sampling Policies. - Peter I. Frazier; Warren B. Powell (SIAM J. Control. Optim., 2011)

The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression. - Warren R. Scott; Peter I. Frazier; Warren B. Powell (SIAM J. Optim., 2011)

Optimization of computationally expensive simulations with Gaussian processes and parameter uncertainty: Application to cardiovascular surgery. - Jing Xie 009; Peter I. Frazier; Sethuraman Sankaran; Alison L. Marsden; Saleh Elmohamed (Allerton Conference, 2012)

Optimization via simulation with Bayesian statistics and dynamic programming. - Peter I. Frazier (WSC, 2012)

Sequential screening: a Bayesian dynamic programming analysis of optimal group-splitting. - Peter I. Frazier; Bruno Jedynak; Li Chen (WSC, 2012)

The Knowledge Gradient Algorithm for a General Class of Online Learning Problems. - Ilya O. Ryzhov; Warren B. Powell; Peter I. Frazier (Oper. Res., 2012)

Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss. - Bruno Jedynak; Peter I. Frazier; Raphael Sznitman (J. Appl. Probab., 2012)

Sequential Sampling with Economics of Selection Procedures. - Stephen E. Chick; Peter I. Frazier (Manag. Sci., 2012)

A Framework for Selecting a Selection Procedure. - Rolf Waeber; Peter I. Frazier; Shane G. Henderson (ACM Trans. Model. Comput. Simul., 2012)

An Optimal Policy for Target Localization with Application to Electron Microscopy. - Raphael Sznitman; Aurélien Lucchi; Peter I. Frazier; Bruno Jedynak; Pascal Fua (ICML (1), 2013)

Upper bounds on the Bayes-optimal procedure for ranking & selection with independent normal priors. - Jing Xie 009; Peter I. Frazier (WSC, 2013)

ALE: a generic assembly likelihood evaluation framework for assessing the accuracy of genome and metagenome assemblies. - Scott C. Clark; Rob Egan; Peter I. Frazier; Zhong Wang 003 (Bioinform., 2013)

Sequential Bayes-Optimal Policies for Multiple Comparisons with a Known Standard. - Jing Xie 009; Peter I. Frazier (Oper. Res., 2013)

Bisection Search with Noisy Responses. - Rolf Waeber; Peter I. Frazier; Shane G. Henderson (SIAM J. Control. Optim., 2013)

Incentivizing exploration. - Peter I. Frazier; David Kempe 001; Jon M. Kleinberg; Robert Kleinberg (EC, 2014)

Parallel bayesian policies for finite-horizon multiple comparisons with a known standard. - Weici Hu; Peter I. Frazier; Jing Xie 009 (WSC, 2014)

Multisection: parallelized bisection. - Stephen Pallone; Peter I. Frazier; Shane G. Henderson (WSC, 2014)

Twenty Questions for Localizing Multiple Objects by Counting: Bayes Optimal Policies for Entropy Loss. - Weidong Han 004; Peter I. Frazier; Bruno M. Jedynak (CoRR, 2014)

Exploration vs. Exploitation in the Information Filtering Problem. - Xiaoting Zhao; Peter I. Frazier (CoRR, 2014)

A Markov Decision Process Analysis of the Cold Start Problem in Bayesian Information Filtering. - Xiaoting Zhao; Peter I. Frazier (CoRR, 2014)

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

Predicting Bike Usage for New York City's Bike Sharing System. - Divya Singhvi; Somya Singhvi; Peter I. Frazier; Shane G. Henderson; Eoin O'Mahony; David B. Shmoys; Dawn B. Woodard (AAAI Workshop: Computational Sustainability, 2015)

Bayesian Multiple Target Localization. - Purnima Rajan; Weidong Han 004; Raphael Sznitman; Peter I. Frazier; Bruno Jedynak (ICML, 2015)

Asymptotic validity of the bayes-inspired indifference zone procedure: the non-normal known variance case. - Saul Toscano-Palmerin; Peter I. Frazier (WSC, 2015)

Clustering via Content-Augmented Stochastic Blockmodels. - J. Massey Cashore; Xiaoting Zhao; Alexander A. Alemi; Yujia Liu; Peter I. Frazier (CoRR, 2015)

Distance Dependent Infinite Latent Feature Models. - Samuel Gershman; Peter I. Frazier; David M. Blei (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

A New Optimal Stepsize for Approximate Dynamic Programming. - Ilya O. Ryzhov; Peter I. Frazier; Warren B. Powell (IEEE Trans. Autom. Control., 2015)

A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution. - Bishan Yang; Claire Cardie; Peter I. Frazier (Trans. Assoc. Comput. Linguistics, 2015)

Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies. - Weici Hu; Peter I. Frazier (AISTATS, 2016)

The Bayesian Linear Information Filtering Problem. - Bangrui Chen; Peter I. Frazier (ICTAI, 2016)

Unbiased Comparative Evaluation of Ranking Functions. - Tobias Schnabel; Adith Swaminathan; Peter I. Frazier; Thorsten Joachims (ICTIR, 2016)

The Parallel Knowledge Gradient Method for Batch Bayesian Optimization. - Jian Wu; Peter I. Frazier (NIPS, 2016)

Warm starting Bayesian optimization. - Matthias Poloczek; Jialei Wang; Peter I. Frazier (WSC, 2016)

Preface. - Theresa Roeder; Peter I. Frazier; Roberto Szechtman; Enlu Zhou (WSC, 2016)

Mean Field Equilibria for Competitive Exploration in Resource Sharing Settings. - Pu Yang; Krishnamurthy Iyer; Peter I. Frazier (WWW, 2016)

Multi-Step Bayesian Optimization for One-Dimensional Feasibility Determination. - J. Massey Cashore; Lemuel Kumarga; Peter I. Frazier (CoRR, 2016)

Dueling Bandits with Dependent Arms. - Bangrui Chen; Peter I. Frazier (CoRR, 2016)

Stratified Bayesian Optimization. - Saul Toscano-Palmerin; Peter I. Frazier (CoRR, 2016)

Bayesian Optimization via Simulation with Pairwise Sampling and Correlated Prior Beliefs. - Jing Xie 009; Peter I. Frazier; Stephen E. Chick (Oper. Res., 2016)

Coupled bisection for root ordering. - Stephen Pallone; Peter I. Frazier; Shane G. Henderson (Oper. Res. Lett., 2016)

Dueling Bandits with Weak Regret. - Bangrui Chen; Peter I. Frazier (ICML, 2017)

Multi-Information Source Optimization. - Matthias Poloczek; Jialei Wang; Peter I. Frazier (NIPS, 2017)

Bayesian Optimization with Gradients. - Jian Wu; Matthias Poloczek; Andrew Gordon Wilson; Peter I. Frazier (NIPS, 2017)

Bayes-Optimal Entropy Pursuit for Active Choice-Based Preference Learning. - Stephen N. Pallone; Peter I. Frazier; Shane G. Henderson (CoRR, 2017)

Mean Field Equilibria for Resource Competition in Spatial Settings. - Pu Yang; Krishnamurthy Iyer; Peter I. Frazier (CoRR, 2017)

Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss. - Weidong Han 004; Purnima Rajan; Peter I. Frazier; Bruno M. Jedynak (IEEE Trans. Inf. Theory, 2017)

Incentivizing Exploration by Heterogeneous Users. - Bangrui Chen; Peter I. Frazier; David Kempe 001 (COLT, 2018)

Surge Pricing Moves Uber's Driver-Partners. - Alice Lu; Peter I. Frazier; Oren Kislev (EC, 2018)

Bridging the Gap from Academic Research to Industry Impact. - Peter I. Frazier (WSC, 2018)

Effort Allocation and Statistical Inference for 1-dimensional Multistart stochastic Gradient Descent. - Saul Toscano-Palmerin; Peter I. Frazier (WSC, 2018)

A Tutorial on Bayesian Optimization. - Peter I. Frazier (CoRR, 2018)

Bayesian Optimization of Composite Functions. - Raul Astudillo; Peter I. Frazier (ICML, 2019)

Practical Two-Step Lookahead Bayesian Optimization. - Jian Wu; Peter I. Frazier (NeurIPS, 2019)

Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning. - Jian Wu; Saul Toscano-Palmerin; Peter I. Frazier; Andrew Gordon Wilson (UAI, 2019)

Information Design in Spatial Resource Competition. - Pu Yang; Krishnamurthy Iyer; Peter I. Frazier (WINE, 2019)

Bayesian Optimization with Uncertain Preferences over Attributes. - Raul Astudillo; Peter I. Frazier (CoRR, 2019)

Probabilistic Bisection Converges Almost as Quickly as Stochastic Approximation. - Peter I. Frazier; Shane G. Henderson; Rolf Waeber (Math. Oper. Res., 2019)

Multi-attribute Bayesian optimization with interactive preference learning. - Raul Astudillo; Peter I. Frazier (AISTATS, 2020)

Bayesian Optimization of Risk Measures. - Sait Cakmak; Raul Astudillo; Peter I. Frazier; Enlu Zhou (NeurIPS, 2020)

Matching Queues, Flexibility and Incentives. - Francisco Castro; Peter I. Frazier; Hongyao Ma; Hamid Nazerzadeh; Chiwei Yan (CoRR, 2020)

Parallel Bayesian Global Optimization of Expensive Functions. - Jialei Wang; Scott C. Clark; Eric Liu; Peter I. Frazier (Oper. Res., 2020)

Bayesian Optimization of Function Networks. - Raul Astudillo; Peter I. Frazier (NeurIPS, 2021)

Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs. - Raul Astudillo; Daniel R. Jiang; Maximilian Balandat; Eytan Bakshy; Peter I. Frazier (NeurIPS, 2021)

Two-step lookahead Bayesian optimization with inequality constraints. - Yunxiang Zhang; Xiangyu Zhang 012; Peter I. Frazier (NeurIPS, 2021)

Thinking Inside the Box: A Tutorial on Grey-Box Bayesian Optimization. - Raul Astudillo; Peter I. Frazier (WSC, 2021)

Restless Bandits with Many Arms: Beating the Central Limit Theorem. - Xiangyu Zhang 012; Peter I. Frazier (CoRR, 2021)

Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes. - Zhiyuan (Jerry) Lin; Raul Astudillo; Peter I. Frazier; Eytan Bakshy (AISTATS, 2022)

Dynamic Pricing Provides Robust Equilibria in Stochastic Ride-Sharing Networks. - J. Massey Cashore; Peter I. Frazier; Éva Tardos (EC, 2022)

Near-optimality for infinite-horizon restless bandits with many arms. - Xiangyu Zhang 012; Peter I. Frazier (CoRR, 2022)

Bayesian Optimization with Expensive Integrands. - Saul Toscano-Palmerin; Peter I. Frazier (SIAM J. Optim., 2022)

qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization. - Raul Astudillo; Zhiyuan (Jerry) Lin; Eytan Bakshy; Peter I. Frazier (AISTATS, 2023)

Smooth Non-stationary Bandits. - Su Jia; Qian Xie 005; Nathan Kallus; Peter I. Frazier (ICML, 2023)

Context, Composition, Automation, and Communication - The C2AC Roadmap for Modeling and Simulation. - Adelinde M. Uhrmacher; Peter I. Frazier; Reiner Hähnle; Franziska Klügl; Fabian Lorig; Bertram Ludäscher; Laura Nenzi; Cristina Ruiz Martin; Bernhard Rumpe; Claudia Szabo; Gabriel A. Wainer; Pia Wilsdorf (CoRR, 2023)

Bayesian Optimization of Function Networks with Partial Evaluations. - Poompol Buathong; Jiayue Wan; Raul Astudillo; Samuel Daulton; Maximilian Balandat; Peter I. Frazier (ICML, 2024)

Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index. - Qian Xie 005; Raul Astudillo; Peter I. Frazier; Ziv Scully; Alexander Terenin (NeurIPS, 2024)

Multi-Attribute Optimization Under Preference Uncertainty. - Bhavik A. Shah; Raul Astudillo; Peter I. Frazier (WSC, 2024)

Multi-Armed Bandits with Interference. - Su Jia; Peter I. Frazier; Nathan Kallus (CoRR, 2024)

Asymptotically Optimal Regret for Black-Box Predict-then-Optimize. - Samuel Tan; Peter I. Frazier (CoRR, 2024)

Modeling the Risk of In-Person Instruction During the COVID-19 Pandemic. - Brian Liu 002; Yujia Zhang; Shane G. Henderson; David B. Shmoys; Peter I. Frazier (INFORMS J. Appl. Anal., 2024)

Dynamic Pricing Provides Robust Equilibria in Stochastic Ridesharing Networks. - J. Massey Cashore; Peter I. Frazier; Éva Tardos (Math. Oper. Res., 2024)

Context, Composition, Automation, and Communication: The C2AC Roadmap for Modeling and Simulation. - Adelinde M. Uhrmacher; Peter I. Frazier; Reiner Hähnle; Franziska Klügl; Fabian Lorig; Bertram Ludäscher; Laura Nenzi; Cristina Ruiz Martin; Bernhard Rumpe; Claudia Szabo; Gabriel A. Wainer; Pia Wilsdorf (ACM Trans. Model. Comput. Simul., 2024)

Fast Bayesian Optimization of Function Networks with Partial Evaluations. - Poompol Buathong; Peter I. Frazier (CoRR, 2025)

Cost-aware Stopping for Bayesian Optimization. - Qian Xie 005; Linda Cai; Alexander Terenin; Peter I. Frazier; Ziv Scully (CoRR, 2025)