ICERM

Bayesian Nonparametrics (September 17-21, 2012)

Organizing Committee

Kassie Fronczyk
(UT MD Anderson Cancer Center/Rice University)
Stuart Geman
(Brown University)
Matthew Harrison
Co-chair
(Brown University)
Michael Jordan
(UC Berkeley)
Peter Mueller
(University of Texas, Austin)
Erik Sudderth
Co-chair
(Brown University)

Bayesian Image

[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.

Speaker and Participant List (* = Speaker)

Loyce Adams
(University of Washington)
Ryan Adams*
(Harvard University)
Mohammadreza Aghajani
(Brown University)
Sergio Bacallado
(Stanford University)
Anjishnu Banerjee
(Duke University)
Jose Blanchet
(Columbia University)
Tamara Broderick *
(University of California, Berkeley)
Daniel Cargill
(New Jersey Institute of Technology)
Lawrence Carin *
(Duke University)
Annalisa Cerquetti
(Università di Roma "La Sapienza")
Xinyun Chen
(Columbia University)
Anne Collins
(Brown University)
David Dahl *
(Brigham Young University)
Pierpaolo De Blasi *
(Università di Torino)
Jing Dong
(Columbia University)
Finale Doshi-Velez *
(Harvard Medical School)
David Dunson *
(Duke University)
Xuan Duong
(Macquarie University)
Paul Dupuis
(Brown University)
David Duvenaud
(University of Cambridge)
Fariba Fahroo
(US Air Force Office of Scientific Research)
Marian Farah *
(MRC Biostatistics Unit)
Ibrahim Fatkullin
(University of Arizona)
Gilbert Fellingham
(Brigham Young University)
Nicholas Foti
(Dartmouth College)
Emily Fox *
(University of Washington)
Kassie Fronczyk
(Rice University)
Zecheng Gan
(Shanghai Jiaotong University)
Arnab Ganguly
(Swiss Federal Institute of Technology)
Soumya Ghosh
(Brown University)
Dilan Görür
(Yahoo! Inc.)
Tristan Gray-Davies
(University of Oxford)
Michele Guindani *
(University of Texas M. D. Anderson Cancer Center)
Matthew Harrison
(Brown University)

Eric Hernandez
(University of Vermont)
Nils Hjort *
(University of Oslo)
Chris Holmes *
(University of Oxford)
Peng Hu
(Université de Bordeaux I)
Michael Hughes
(Brown University)
Majid Janzamin
(University of California, Irvine)
Dane Johnson
(Brown University)
George Karniadakis
(Brown University)
Dae Kim
(Brown University)
Ben Letham
(Massachusetts Institute of Technology)
Antonio Lijoi*
(Università di Pavia)
Ling Lin
(New York University)
Tao Liu
(Brown University)
Yufei Liu
(Brown University)
James Lynch
(University of South Carolina)
Terry Lyons
(University of Oxford)
Steve MacEachern *
(Ohio State University)
Elizabeth Makrides
(Brown University)
Youssef Marzouk
(Massachusetts Institute of Technology)
Markus Meuwly
(Universität Basel)
Jeffrey Miller *
(Brown University)
Peter Mueller
(University of Texas at Austin)
Karthyek Murthy
(Tata Institute of Fundamental Research)
Dahlia Nadkarni
(Brown University)
Akil Narayan
(University of Massachusetts)
Long Nguyen *
(University of Michigan)
Hao Ni
(University of Oxford)
Andriy Norets *
(Princeton University)
Peter Orbanz *
(Columbia University)
Konstantina Palla
(University of Cambridge)
Sobhan Parizi
(Brown University)
Francesca Petralia
(Duke University)

Kamana Porwal
(Indian Institute of Science)
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)
Suchi Saria*
(Stanford University)
Angela Schoergendorfer
(IBM)
Jayaram Sethuraman*
(Florida State University)
Laura Slivinski
(Brown University)
Aaron Smith
(Stanford University)
Sanvesh Srivastava
(Purdue University)
Erik Sudderth
(Brown University)
Barbara Tabak
(The Broad Institute)
Surya Tokdar *
(Duke University)
Michael Tretyakov
(University of Nottingham)
Fatma Ulker
(Massachusetts Institute of Technology)
Javier Velez
(Massachusetts Institute of Technology)
Daniele Venturi
(Brown University)
Xiaoliang Wan
(Louisiana State University)
Lesley Ward
(University of South Australia-Levels Campus)
Sinead Williamson *
(Carnegie Mellon University)
Wei Wu
(Brown University)
Hongxia Yang
(IBM)
Xiaoxuan Zhang
(IBM)
Jie Zhong
(University of Southern California)
Silvia Zuffi
(Brown University)

Tutorial Week Schedule and Supporting Materials

Thursday	September 13, 2012
Time	Description	Speaker	Location	Abstracts	Slides
9:00 - 10:30	Gaussian Processes I	Ryan Adams, Harvard University	11th Floor Lecture Hall
10:30 - 10:50	Coffee/Tea Break		11th Floor Collaborative Space
10:50 - 12:20	Gaussian Processes II	Ryan Adams, Harvard University	11th Floor Lecture Hall
12:20 - 1:40	Break for Lunch
1:40 - 3:10	Combinatorial Stochastic Processes I	Tamara Broderick, University of California, Berkeley	11th Floor Lecture Hall
3:10 - 3:30	Coffee/Tea Break		11th Floor Collaborative Space
3:30 - 5:00	Combinatorial Stochastic Processes II	Tamara Broderick, University of California, Berkeley	11th Floor Lecture Hall

Friday	September 14, 2012
Time	Description	Speaker	Location	Abstracts	Slides
9:30 - 10:30	Matlab Practical: Gaussian Processes	Dilan G�r�r, University of California, Irvine	11th Floor Lecture Hall
10:30 - 11:00	Coffee/Tea Break		11th Floor Collaborative Space
11:00 - 12:00	Matlab Practical: Dirichlet Processes	Dilan G�r�r, University of California, Irvine	11th Floor Lecture Hall
12:00 - 1:30	Break for Lunch
1:30 - 3:30	Theoretical Foundations I	Peter Orbanz, University of Cambridge	11th Floor Lecture Hall
3:30 - 4:00	Coffee/Tea Break		11th Floor Collaborative Space

Schedule and Supporting Materials

Monday	September 17, 2012
Time	Description	Speaker	Location	Abstracts	Slides
8:30 - 8:55	Registration & Welcome Coffee		11th Floor Collaborative Space
8:55 - 9:00	Welcome	ICERM Director, Jill Pipher	11th Floor Lecture Hall
9:15 - 10:00	Using Bayesian Nonparametrics for Practical Optimization of Machine Learning Algorithms	Ryan Adams, Harvard University	11th Floor Lecture Hall
10:00 - 10:30	Coffee/Tea Break		11th Floor Collaborative Space
10:30 - 11:15	Computer Emulation with Non-Stationary Gaussian Processes	Surya Tokdar, Duke University	11th Floor Lecture Hall
11:15 - 12:00	Bayesian nonparametrics for adaptive surveys and tests	Lawrence Carin, Duke University	11th Floor Lecture Hall
12:00 - 2:00	Break for Lunch
2:00 - 2:45	Convergence of latent mixing measures in finite and infinite mixture models	Long Nguyen, University of Michigan	11th Floor Lecture Hall
2:45 - 3:30	Dirichlet process mixtures are inconsistent for the number of components in a finite mixture	Jeffrey Miller, Brown University	11th Floor Lecture Hall
3:30 - 4:00	Coffee/Tea Break		11th Floor Collaborative Space
4:00 - 4:45	Bayesian estimation of the discrepancy with misspecified parametric models	Pierpaolo De Blasi, Universita di Torino	11th Floor Lecture Hall
5:00 - 6:30	Welcome Reception		11th Floor Collaborative Space

Tuesday	September 18, 2012
Time	Description	Speaker	Location	Abstracts	Slides
9:15 - 10:00	Bayesian Nonparametric Approaches for Partially-Observable Reinforcement Learning	Finale Doshi-Velez, Massachusetts Institute of Technology	11th Floor Lecture Hall
10:00 - 10:30	Coffee/Tea Break		11th Floor Collaborative Space
10:30 - 11:15	Species sampling priors for the analysis of array CGH data	Michele Guindani, University of Texas, MD Anderson Cancer Center	11th Floor Lecture Hall
11:15 - 12:00	On a simple class of Bayesian nonparametric autoregression models	Fernando Quintana, Pontifical Catholic University of Chile	11th Floor Lecture Hall
12:00 - 5:00	Afternoon Free for Collaborations

Wednesday	September 19, 2012
Time	Description	Speaker	Location	Abstracts	Slides
9:15 - 10:00	Nonparametric Bayes tensor factorizations for big data	David B. Dunson, Duke University	11th Floor Lecture Hall
10:00 - 10:05	Group Photo		11th Floor Lecture Hall
10:05 - 10:30	Coffee/Tea Break		11th Floor Collaborative Space
10:30 - 11:15	Bayesian Emulation and Calibration of a Dynamic Model for an H1N1 Influenza Epidemic	Marian Farah, MRC Biostatistics Unit	11th Floor Lecture Hall
11:15 - 12:00	Discovery and prediction from clinical physiologic data	Suchi Saria, Stanford University	11th Floor Lecture Hall
12:00 - 2:00	Break for Lunch
2:00 - 2:45	Nonparametric priors for exchangeable graphs and arrays	Peter Orbanz, Columbia University	11th Floor Lecture Hall
2:45 - 3:30	Further structure underlying the beta (and Indian buffet) process	Daniel Roy, University of Cambridge	11th Floor Lecture Hall
3:30 - 4:00	Coffee/Tea Break		11th Floor Collaborative Space
4:00 - 4:45	Multiresolution Gaussian Processes	Emily Fox, University of Washington	11th Floor Lecture Hall
7:00 - 8:30	Poster Session & Dessert Reception		11th Floor Collaborative Space and Lecture Hall

Thursday	September 20, 2012
Time	Description	Speaker	Location	Abstracts	Slides
9:15 - 10:00	Clusters and features from combinatorial stochastic processes	Tamara Broderick, University of California, Berkeley	11th Floor Lecture Hall
10:00 - 10:30	Coffee/Tea Break		11th Floor Collaborative Space
10:30 - 11:15	Slice sampling dependent normalized random measures	Sinead Williamson, Carnegie Mellon University	11th Floor Lecture Hall
11:15 - 12:00	The tilted Beta process	Nils Lid Hjort, University of Oslo	11th Floor Lecture Hall
12:00 - 12:05	Survey Distribution
12:05 - 2:00	Break for Lunch
2:00 - 2:45	Nonparametric priors for analyzing censored data and data from repair models	Jayaram Sethuraman, Florida State University	11th Floor Lecture Hall
2:45 - 3:30	Canonically correlated random measures and an application to survival analysis	Antonio Lijoi, Universita di Pavia	11th Floor Lecture Hall
3:30 - 4:00	Coffee/Tea Break		11th Floor Collaborative Space
4:00 - 4:45	A nonparametric regression model for Bayesian survival analysis	Chris Holmes, University of Oxford	11th Floor Lecture Hall

Friday	September 21, 2012
Time	Description	Speaker	Location	Abstracts	Slides
9:15 - 10:00	Bayes factors for high and infinite dimensional models	Steve MacEachern, Ohio State University	11th Floor Lecture Hall
10:00 - 10:30	Coffee/Tea Break		11th Floor Collaborative Space
10:30 - 11:15	On adaptation for the posterior distribution under local and sup-norm losses	Judith Rousseau, Universite de Paris-Dauphine	11th Floor Lecture Hall
11:15 - 12:00	Posterior Consistency in Kullback-Leibler Divergence with Applications to Misspecified Infinite Dimensional Models	Andriy Norets, Princeton University	11th Floor Lecture Hall
12:00 - 2:00	Break for Lunch
2:00 - 2:45	Modeling exchangeable collections of networks using nonparametric Bayesian mixtures	Abel Rodriguez, University of California, Santa Cruz	11th Floor Lecture Hall
2:45 - 3:30	Random Partition Distributions Indexed by Pairwise Information	David Dahl, Brigham Young University	11th Floor Lecture Hall
3:30 - 4:00	Coffee/Tea Break		11th Floor Collaborative Space
4:00 - 4:45	On some distributional properties of Gibbs-type priors	Igor Pruenster, University of Torino & Collegio Carlo Alberto	11th Floor Lecture Hall
5:00 - 6:00	What do rough paths have to do with finance	Terry Lyons, University of Oxford	11th Floor Lecture Hall