
Bayesian Optimization with Uncertain Preferences over Attributes
We consider blackbox global optimization of timeconsumingtoevaluate ...
11/14/2019 ∙ by Raul Astudillo, et al. ∙ 15 ∙ shareread it

A Tutorial on Bayesian Optimization
Bayesian optimization is an approach to optimizing objective functions t...
07/08/2018 ∙ by Peter I. Frazier, et al. ∙ 12 ∙ shareread it

Practical Multifidelity Bayesian Optimization for Hyperparameter Tuning
Bayesian optimization is popular for optimizing timeconsuming blackbox...
03/12/2019 ∙ by Jian Wu, et al. ∙ 12 ∙ shareread it

Bayesian Optimization of Composite Functions
We consider optimization of composite objective functions, i.e., of the ...
06/04/2019 ∙ by Raul Astudillo, et al. ∙ 6 ∙ shareread it

Discretizationfree Knowledge Gradient Methods for Bayesian Optimization
This paper studies Bayesian ranking and selection (R&S) problems with co...
07/20/2017 ∙ by Jian Wu, et al. ∙ 0 ∙ shareread it

Bayesian Optimization with Gradients
Bayesian optimization has been successful at global optimization of expe...
03/13/2017 ∙ by Jian Wu, et al. ∙ 0 ∙ shareread it

BayesOptimal Entropy Pursuit for Active ChoiceBased Preference Learning
We analyze the problem of learning a single user's preferences in an act...
02/24/2017 ∙ by Stephen N. Pallone, et al. ∙ 0 ∙ shareread it

Warm Starting Bayesian Optimization
We develop a framework for warmstarting Bayesian optimization, that red...
08/11/2016 ∙ by Matthias Poloczek, et al. ∙ 0 ∙ shareread it

The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
In many applications of blackbox optimization, one can evaluate multipl...
06/14/2016 ∙ by Jian Wu, et al. ∙ 0 ∙ shareread it

MultiInformation Source Optimization
We consider Bayesian optimization of an expensivetoevaluate blackbox ...
03/01/2016 ∙ by Matthias Poloczek, et al. ∙ 0 ∙ shareread it

Parallel Bayesian Global Optimization of Expensive Functions
We consider parallel global optimization of derivativefree expensiveto...
02/16/2016 ∙ by Jialei Wang, et al. ∙ 0 ∙ shareread it

Stratified Bayesian Optimization
We consider derivativefree blackbox global optimization of expensive n...
02/07/2016 ∙ by Saul ToscanoPalmerin, et al. ∙ 0 ∙ shareread it

BayesOptimal Effort Allocation in Crowdsourcing: Bounds and Index Policies
We consider effort allocation in crowdsourcing, where we wish to assign ...
12/31/2015 ∙ by Weici Hu, et al. ∙ 0 ∙ shareread it

Bayesian optimization for materials design
We introduce Bayesian optimization, a technique developed for optimizing...
06/03/2015 ∙ by Peter I. Frazier, et al. ∙ 0 ∙ shareread it

Clustering via ContentAugmented Stochastic Blockmodels
Much of the data being created on the web contains interactions between ...
05/25/2015 ∙ by J. Massey Cashore, et al. ∙ 0 ∙ shareread it

Probabilistic Group Testing under Sum Observations: A Parallelizable 2Approximation for Entropy Loss
We consider the problem of group testing with sum observations and noise...
07/16/2014 ∙ by Weidong Han, et al. ∙ 0 ∙ shareread it

A New Optimal Stepsize For Approximate Dynamic Programming
Approximate dynamic programming (ADP) has proven itself in a wide range ...
07/10/2014 ∙ by Ilya O. Ryzhov, et al. ∙ 0 ∙ shareread it

Distance Dependent Infinite Latent Feature Models
Latent feature models are widely used to decompose data into a small num...
10/25/2011 ∙ by Samuel J. Gershman, et al. ∙ 0 ∙ shareread it

Distance Dependent Chinese Restaurant Processes
We develop the distance dependent Chinese restaurant process (CRP), a fl...
10/06/2009 ∙ by David M. Blei, et al. ∙ 0 ∙ shareread it

Bayesian Optimization with Expensive Integrands
We propose a Bayesian optimization algorithm for objective functions tha...
03/23/2018 ∙ by Saul ToscanoPalmerin, et al. ∙ 0 ∙ shareread it
Peter I. Frazier
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Staff Data Scientist and Data Science Manager for uberPOOL at Uber since 2016, Associate Professor, Department of Operations Research and Information Engineering at Cornell University since 2015, Senior Data Scientist at Uber from 20152016, Assistant Professor, Department of Operations Research and Information Engineering at Cornell University from 20092015, Senior Software Developer at NCR, Teradata Division from 20042005, Software Developer at WireCache from 20012004, Cofounder and Software Developer at Viaworks from 20002001