Bayesian Nonparametrics: Synergies between Statistics, Probability and Mathematics (BNP-SSPM): June 29-July 2, 2015

The workshop was held at SAMSI, Research Triangle Park, NC

Schedule
Participant List
Speakers, Titles, Abstracts
Posters

Workshop Description

Bayesian Nonparametrics (BNP) is a rapidly evolving area at the intersection of statistics, machine learning, probability and computer science. The focus is on modeling infinite-dimensional unknown objects that may consist of curves, surfaces, processes or probability measures. There are currently several vibrant communities focused on different aspects of BNP ranging from design of new processes motivated by machine learning and high-dimensional data problems, asymptotic properties, probabilistic properties, computation and intersections of these different areas. The area is amazingly multi-disciplinary, with leading researchers having diverse backgrounds in mathematics, statistics, probability theory, computer science and electrical engineering. The goal of this four-day workshop is to bring together a group of leading researchers having different perspectives on BNP including "outsiders" working on related areas relevant to BNP, such as optimization and probability, with the goal of spurring new collaborative projects aimed at developing transformative new approaches and high impact scientific tools.

The program followed and involved a subset of participants from the 10th Conference on Bayesian Nonparametrics that was held in Raleigh, June 22-26, 2015. However, the summer program was a stand alone event, with its focus squarely placed on the synergy between mathematics, computer science, probability and statistics relevant to Bayesian Nonparametrics and involved its own set of leading researchers in the best interest of the cause. A primary aim of the program was to facilitate interaction between leading experts and graduate students and young researchers to help train the next generation BNP researchers.

SAMSI liaison: Sujit Ghosh

If you need further information please send an email to [email protected]

 

Schedule

Monday, June 29, 2015
at SAMSI

8:15-8:30 a.m. Shuttle to SAMSI (Meet in the Hotel Lobby)
8:30-9:00 Registration
9:00-9:15 Welcome and Introduction
Sujit Ghosh, SAMSI and David Dunson, Duke University
9:15-10:30 Session I: Overview of Bayesian Nonparametrics
Steve MacEachern, Ohio State University
A Gentle Introduction to Nonparametric Bayes
10:30-10:45 Break
10:45-12:00 Session 2: Panel Discussion on Multiresolution Methods
Moderators: Antonio Canale, University of Turin and Li Ma, Duke University
12:00-1:30 Lunch and Group Photo
1:30-3:00 Session 3: Breakout Groups on Multiresolution Methods
(SAMSI Rooms: 150, 259, 219, 203, NISS Room 104)
3:00-3:30 Break
3:30- 4:30 Session 4: Recap and Discussions of the Breakout Groups
4:30-5:30 Shuttle to Hotel (Dinner on your Own)

Tuesday, June 30, 2015
at SAMSI

(SAMSI Rooms: 150, 259, 219, 203, NISS Room 104)

8:30-8:45 a.m. Shuttle to SAMSI (Meet in the Hotel Lobby)
8:45-9:00 Registration
9:00-9:15 Announcements and Recap
9:15-10:30

Session 5: Research Seminars
Tamara Broderick, MIT
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes

Botond Szabo, CREST
Confidence in Bayesian Uncertainty Quantification?

10:30-10:45 Break
10:45-12:00 Session 6: Panel Discussion on High-dimensional Analysis
Moderators: Surya Tokdar, Duke University and Peter Orbanz, Columbia University
12:00-1:30 Lunch
1:30-3:00 Session 7: Breakout Groups on High-dimensional Analysis
3:00-3:30 Break
3:00-4:00 Session 8: Recap and Discussions of the Breakout Groups
4:00-5:00 Break
5:00-7:00 Poster Session and Reception
7:00-7:15 Shuttle to Hotel

Wednesday, July 1, 2015
at SAMSI

8:45-9:00 a.m. Shuttle to SAMSI (Meet in the Hotel Lobby)
9:00-9:15 Announcements and Recap
9:15-10:30 Session 9: Research Seminars
Sanvesh Srivastava, Duke University
Scalable Bayes via Fast Computation of Barycenter of Subset Posteriors

Anirban Bhattacharya, Texas A&M University
Posterior Concentration in Gaussian Process Regression using Wasserstein BvMs
10:30-10:45 Break
10:45-12:00 Session 10: Panel Discussion on Statistical Emulation and Optimization
Moderators: Ralph Smith, North Carolina State University and Robert Wolpert, Duke University
12:00-1:30 Lunch
1:30-3:00 Session 11: Breakout Groups on Statistical Emulation and Optimization
(SAMSI Rooms: 150, 259, 219, 203, NISS Room 104)
3:00-3:30 Break
3:30-4:30 Session 12: Recap and Discussions of the Breakout Groups
4:30-5:30 Shuttle to Hotel (Dinner on your Own)

Thursday, July 2, 2015
at SAMSI

8:45-9:00 a.m. Shuttle to SAMSI (Meet in the Hotel Lobby)
9:00-9:15 Announcements and Recap
9:15-10:30 Session 13: Panel Discussion on Theoretical Developments
Moderators: Natesh Pillai, Harvard University and Subhashis Ghosal, North Carolina State University
10:30-10:45 Break
10:45-12:00 Session 14: Breakout Groups on Theoretical Developments
(SAMSI Rooms: 150, 259, 219, 203, NISS Room 104)
12:00-12:15 Concluding Remarks
12:15-12:30 Adjourn and Box Lunch
12:30-12:45 Shuttle to Airport