**Bayesian Nonparametrics: The Next Generation**

**NIPS 2015 Workshop**

**Montreal, Canada**

**Level 5, Room 515 bc**

**Sat Dec 12, 2015**

__Session 1: Foundations__Chair: Tamara Broderick

8:25-8:30 Introduction

8:30-9:00 Invited:

**Peter Orbanz (Columbia)**

**Random measure priors and tractability**

__Session 2: Modeling and Theory__Chair: Nick Foti

9:00-9:30 Invited:

**Jeff Miller (Duke)**

**Non-standard approaches to nonparametric Bayes**

9:30–9:45 Contributed:

**Diana Cai (U Chicago)**,9:45-10:00 Contributed:

**Victor Veitch (U Toronto)**,10:00–10:30

**Break**

__Session 3: Computation I__Chair: Sinead Williamson

10:30-11:00 Invited:

**Mike Hughes (Brown)**

**Scalable variational inference that adapts the number of clusters: Mixtures, Topics, and Beyond**

11:00–11:30 Poster Spotlights:

- Jeffrey W. Miller, Brenda Betancourt, Abbas Zaidi, Hanna Wallach and Rebecca C. Steorts, Microclustering: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set, Poster
- Tue Herlau, Mikkel Schmidt and Morten Mørup, Completely random measures for block-structured networks
- Trevor Campbell, Jonathan Huggins, Tamara Broderick and Jonathan How,
Truncated Completely Random Measures
**, Slides, Poster** - Ardavan Saeedi, Asma Ghandeharioun, and Matt Hoffman,
A simple hierarchical infinite HMM with efficient inference
**, Slides, Poster** - Matthew Pratola, Robert McCulloch, Hugh Chipman, and Ed George,
Modeling Heteroscedasticity with Bayesian Multiplicative Trees
**, Slides, Poster** - Forough Arabshahi, Roi Weiss and Animashree Anandkumar,
**Beyond LDA: Spectral Methods for Topic Modeling Based on Exchangeable Partitions**

11:30-1:00

**Panel Discussion:****Emily Fox,****Lauren Hannah**,**Steve MacEachern,**

**Erik Sudderth**,

**Yee Whye Teh**

**Moderator: Sinead Williamson**

__Session 4: Poster Session__

2:30–3:30 Poster Session (max poster size is A1 portrait, 841mm height by 594mm width)

**Session 5: Computation II**Chair: Nick Foti

3:30–4:00 Invited:

**Sara Wade (U Warwick)**

**Bayesian Cluster Analysis: Point Estimation and Credible Balls**

4:00–4:15 Contributed:

**Balaji Lakshminarayanan (UCL)**4:15–4:30 Contributed:

**Michael Zhang (UT Austin)**4:30–5:00 Break

5:00–5:30 Invited:

**Amr Ahmed (Google)**

__Session 6: Applications__Chair: Aaron Schein

5:30–6:00 Invited:

**Isabel Valera (Max Planck)****Modeling the Dynamics of Online Learning Activity**

6:00–6:30 Invited:

**Scott Moser (UT Austin)**

**Looking for what you can't see: exploring subgroups using model-based clustering**