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Bayesian Nonparametrics (September 17-21, 2012)


Organizing Committee


[Image courtesy of Daniel Roy and Yee Whye Teh]

Description

Data-rich investigations need advanced tools for allowing data to inform and interact with models. Bayesian Nonparametrics is a rapidly growing subfield of statistics and machine learning that provides a framework for creating complex statistical models that are both expressive and tractable. Recent, successful applications of nonparametric Bayesian models across a variety of domains suggests that these models have the potential for wide use. The challenge of constructing and using models on very high dimensional or even infinite dimensional spaces creates many opportunities for fruitful interactions between mathematicians, statisticians and computer scientists. Areas of interest include prior construction, posterior inference, posterior asymptotics, algorithmic development, and practical applications.

  • Loyce Adams
    (University of Washington)
  • Ryan Adams*
    (Harvard University)
  • Mohammadreza Aghajani
    (Brown University)
  • Asohan Amarasingham
    (City College of New York)
  • Sergio Bacallado
    (Stanford University)
  • Manisha Bhardwaj
    (University of Houston)
  • Jose Blanchet
    (Columbia University)
  • Tamara Broderick*
    (UC Berkeley)
  • Daniel Cargill
    (New Jersey Institute of Technology)
  • Lawrence Carin*
    (Duke University)
  • Annalisa Cerquetti
    (Sapienza University of Rome)
  • Xinyun Chen
    (Columbia University)
  • David Dahl*
    (Texas A&M University)
  • Pierpaolo De Blasi*
    (University of Turin)
  • Jing Dong
    (Columbia University)
  • Finale Doshi-Velez*
    (Harvard Medical School)
  • Vanja Dukic
    (University of Colorado)
  • David Dunson*
    (Duke University)
  • Paul Dupuis
    (Brown University)
  • David Duvenaud
    (University of Cambridge)
  • Marian Farah*
    (MRC Biostatistics Unit, Cambridge, UK)
  • Ibrahim Fatkullin
    (University of Arizona)
  • Stefano Favaro*
    (University of Torino)
  • Gilbert Fellingham
    (Brigham Young University)
  • Nicholas Foti
    (Dartmouth College)
  • Emily Fox*
    (University of Washington)
  • Kassie Fronczyk
    (UT MD Anderson Cancer Center/Rice University)
  • Zecheng Gan
    (Shanghai Jiao Tong University)
  • Arnab Ganguly
    (Swiss Federal Institute of Technology)
  • Stuart Geman
    (Brown University)
  • Dilan Gorur
    (Yahoo! Labs)
  • Tristan Gray-Davies
    (Oxford University)
  • Michele Guindani*
    (University of Texas MD Anderson Cancer Center)
  • Matthew Harrison
    (Brown University)
  • Eric Manuel Hernandez
    (University of Vermont)
  • Nils Hjort*
    (University of Oslo)
  • Chris Holmes*
    (University of Oxford)
  • Peng Hu
    (Universite de Bordeaux I)
  • Lancelot James*
    (Hong Jong University of Science and Technology)
  • Majid Janzamin
    (University of California, Irvine)
  • Dane Michael Johnson
    (Brown University)
  • George Karniadakis
    (Brown University)
  • Dan Lee
    (Duke University
  • Ben Letham
    (Massachusetts Institute of Technology)
  • Antonio Lijoi*
    (Università di Pavia)
  • Ling Lin
    (New York University)
  • Lizhen Lin
    (University of Arizona)
  • Jingchen Liu
    (Columbia University)
  • James Lynch
    (University of South Carolina)
  • Terry Lyons
    (University of Oxford)
  • Steve MacEachern*
    (Ohio State University)
  • Ahmad Mahmoody
    (Brown University)
  • Elizabeth Makrides
    (Brown University)
  • Youssef Marzouk
    (Massachusetts Institute of Technology)
  • Markus Meuwly
    (Universität Basel)
  • Jeffrey Miller*
    (Brown University)
  • Sorin Mitran
    (University of North Carolina)
  • Peter Mueller*
    (University of Texas, Austin)
  • Karthyek Murthy
    (Tata Institute of Fundamental Research)
  • Akil Narayan
    (University of Massachusetts, Dartmouth)
  • Long Nguyen*
    (University of Michigan)
  • Hao Ni
    (University of Oxford)
  • Andriy Norets*
    (Princeton University)
  • Peter Orbanz*
    (Columbia University)
  • Konstantina Palla
    (University of Cambridge)
  • James Propp
    (University of Massachusetts)
  • Igor Pruenster*
    (Università di Torino)
  • Fernando Quintana*
    (Pontifical Catholic University of Chile)
  • Kavita Ramanan
    (Brown University)
  • Abel Rodriguez*
    (University of California, Santa Cruz)
  • Judith Rousseau*
    (Université de Paris-Dauphine)
  • Daniel Roy*
    (University of Cambridge)
  • Boris Rozovsky
    (Brown University)
  • Matteo Ruggiero
    (Universita di Torino)
  • Suchi Saria*
    (Stanford University)
  • Angela Schoergendorfer
    (IBM Watson Research Center)
  • Debarka Sengupta
    (Indian Statistical Institute)
  • Jayaram Sethuraman*
    (Florida State University)
  • Laura Slivinski
    (Brown University)
  • Aaron Matthew Smith
    (Stanford University)
  • Bedrich Sousedik
    (University of Southern California)
  • Sanvesh Srivastava
    (Purdue University)
  • Erik Sudderth
    (Brown University)
  • Surya Tokdar*
    (Duke University)
  • Michael Tretyakov
    (University of Nottingham)
  • Lorenzo Trippa
    (Harvard University)
  • Fatma Ulker
    (Massachusetts Institute of Technology)
  • Javier Velez
    (Massachusetts Institute of Technology)
  • Daniele Venturi
    (Brown University)
  • Xiaoliang Wan
    (Louisiana State University)
  • Yair Weiss
    (Hebrew University)
  • Sinead Williamson*
    (Carnegie Mellon University)
  • Wei Wu
    (Brown University)
  • Hongxia Yang
    (IBM Watson Research)
  • Jie Zhong
    (University of Southern California)
  • Hongxiao Zhu
    (Virginia Tech University)
  • Silvia Zuffi
    (Brown University)
DatesTitleOrganizers
September 17-21, 2012Bayesian NonparametricsKassie Fronczyk, Stuart Geman, Matthew Harrison, Michael Jordan, Peter Mueller, Erik Sudderth

Video Links
Description Speaker
Video
Abstract
Slides

ThursdaySeptember 13, 2012
TimeDescriptionSpeakerLocationAbstractsSlides
9:00 - 10:30Gaussian Processes IRyan Adams, Harvard University11th Floor Lecture Hall
10:30 - 10:50Coffee/Tea Break11th Floor Collaborative Space
10:50 - 12:20Gaussian Processes IIRyan Adams, Harvard University11th Floor Lecture Hall
12:20 - 1:40Break for Lunch
1:40 - 3:10Combinatorial Stochastic Processes ITamara Broderick, University of California, Berkeley11th Floor Lecture Hall
PDF
3:10 - 3:30Coffee/Tea Break11th Floor Collaborative Space
3:30 - 5:00Combinatorial Stochastic Processes IITamara Broderick, University of California, Berkeley11th Floor Lecture Hall

FridaySeptember 14, 2012
TimeDescriptionSpeakerLocationAbstractsSlides
9:30 - 10:30Matlab Practical: Gaussian ProcessesDilan G�r�r, University of California, Irvine11th Floor Lecture Hall
10:30 - 11:00Coffee/Tea Break11th Floor Collaborative Space
11:00 - 12:00Matlab Practical: Dirichlet ProcessesDilan G�r�r, University of California, Irvine11th Floor Lecture Hall
12:00 - 1:30Break for Lunch
1:30 - 3:30Theoretical Foundations IPeter Orbanz, University of Cambridge11th Floor Lecture Hall
PDF
3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space

MondaySeptember 17, 2012
TimeDescriptionSpeakerLocationAbstractsSlides
8:30 - 8:55Registration & Welcome Coffee11th Floor Collaborative Space
8:55 - 9:00WelcomeICERM Director, Jill Pipher11th Floor Lecture Hall
9:15 - 10:00Using Bayesian Nonparametrics for Practical Optimization of Machine Learning AlgorithmsRyan Adams, Harvard University11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:15Computer Emulation with Non-Stationary Gaussian ProcessesSurya Tokdar, Duke University11th Floor Lecture Hall
PDF
PDF
11:15 - 12:00Bayesian nonparametrics for adaptive surveys and testsLawrence Carin, Duke University11th Floor Lecture Hall
12:00 - 2:00Break for Lunch
2:00 - 2:45Convergence of latent mixing measures in finite and infinite mixture modelsLong Nguyen, University of Michigan11th Floor Lecture Hall
PDF
PDF
2:45 - 3:30Dirichlet process mixtures are inconsistent for the number of components in a finite mixtureJeffrey Miller, Brown University11th Floor Lecture Hall
PDF
PDF
3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space
4:00 - 4:45Bayesian estimation of the discrepancy with misspecified parametric modelsPierpaolo De Blasi, Universita di Torino11th Floor Lecture Hall
PDF
PDF
5:00 - 6:30Welcome Reception11th Floor Collaborative Space

TuesdaySeptember 18, 2012
TimeDescriptionSpeakerLocationAbstractsSlides
9:15 - 10:00Bayesian Nonparametric Approaches for Partially-Observable Reinforcement LearningFinale Doshi-Velez, Massachusetts Institute of Technology11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:15Species sampling priors for the analysis of array CGH dataMichele Guindani, University of Texas, MD Anderson Cancer Center11th Floor Lecture Hall
11:15 - 12:00On a simple class of Bayesian nonparametric autoregression modelsFernando Quintana, Pontifical Catholic University of Chile11th Floor Lecture Hall
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PDF
12:00 - 5:00Afternoon Free for Collaborations

WednesdaySeptember 19, 2012
TimeDescriptionSpeakerLocationAbstractsSlides
9:15 - 10:00Nonparametric Bayes tensor factorizations for big dataDavid B. Dunson, Duke University11th Floor Lecture Hall
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PDF
10:00 - 10:05Group Photo11th Floor Lecture Hall
10:05 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:15Bayesian Emulation and Calibration of a Dynamic Model for an H1N1 Influenza EpidemicMarian Farah, MRC Biostatistics Unit11th Floor Lecture Hall
PDF
PDF
11:15 - 12:00Discovery and prediction from clinical physiologic dataSuchi Saria, Stanford University11th Floor Lecture Hall
12:00 - 2:00Break for Lunch
2:00 - 2:45Nonparametric priors for exchangeable graphs and arraysPeter Orbanz, Columbia University11th Floor Lecture Hall
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2:45 - 3:30Further structure underlying the beta (and Indian buffet) processDaniel Roy, University of Cambridge11th Floor Lecture Hall
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3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space
4:00 - 4:45Multiresolution Gaussian ProcessesEmily Fox, University of Washington11th Floor Lecture Hall
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PDF
7:00 - 8:30Poster Session & Dessert Reception11th Floor Collaborative Space and Lecture Hall

ThursdaySeptember 20, 2012
TimeDescriptionSpeakerLocationAbstractsSlides
9:15 - 10:00Clusters and features from combinatorial stochastic processesTamara Broderick, University of California, Berkeley11th Floor Lecture Hall
PDF
PDF
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:15Slice sampling dependent normalized random measuresSinead Williamson, Carnegie Mellon University11th Floor Lecture Hall
11:15 - 12:00The tilted Beta processNils Lid Hjort, University of Oslo11th Floor Lecture Hall
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12:00 - 12:05Survey Distribution
12:05 - 2:00Break for Lunch
2:00 - 2:45Nonparametric priors for analyzing censored data and data from repair modelsJayaram Sethuraman, Florida State University11th Floor Lecture Hall
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2:45 - 3:30Canonically correlated random measures and an application to survival analysisAntonio Lijoi, Universita di Pavia11th Floor Lecture Hall
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3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space
4:00 - 4:45A nonparametric regression model for Bayesian survival analysisChris Holmes, University of Oxford11th Floor Lecture Hall
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FridaySeptember 21, 2012
TimeDescriptionSpeakerLocationAbstractsSlides
9:15 - 10:00Bayes factors for high and infinite dimensional modelsSteve MacEachern, Ohio State University11th Floor Lecture Hall
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PDF
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:15On adaptation for the posterior distribution under local and sup-norm lossesJudith Rousseau, Universite de Paris-Dauphine11th Floor Lecture Hall
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11:15 - 12:00Posterior Consistency in Kullback-Leibler Divergence with Applications to Misspecified Infinite Dimensional ModelsAndriy Norets, Princeton University11th Floor Lecture Hall
12:00 - 2:00Break for Lunch
2:00 - 2:45Modeling exchangeable collections of networks using nonparametric Bayesian mixturesAbel Rodriguez, University of California, Santa Cruz11th Floor Lecture Hall
2:45 - 3:30Random Partition Distributions Indexed by Pairwise InformationDavid Dahl, Brigham Young University11th Floor Lecture Hall
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3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space
4:00 - 4:45On some distributional properties of Gibbs-type priorsIgor Pruenster, University of Torino & Collegio Carlo Alberto11th Floor Lecture Hall
PDF
PDF
5:00 - 6:00What do rough paths have to do with financeTerry Lyons, University of Oxford11th Floor Lecture Hall