Bayesian Nonparametrics: The Next Generation
NIPS 2015 Workshop
Montreal, Canada
Level 5, Room 515 bc
Sat Dec 12, 2015

List of accepted papers:
(Papers listed here are for archival purposes and do not constitute a proceedings for this workshop.)
  1. Mondrian Forests for Large-Scale Regression when Uncertainty Matters,                 Slides, Poster, Updated ArXiv Version
    Balaji Lakshminarayanan, Daniel Roy and Yee Whye Teh 

  2. Edge-exchangeable graphs, sparsity, and power laws,                                              Slides, Poster
    Tamara Broderick and Diana Cai.

  3. The General Class of (Sparse) Graphs from Exchangeable Random Measures,          PosterUpdated ArXiv Version
    Victor Veitch and Daniel Roy 

  4. Parallel Markov Chain Monte Carlo for the Indian Buffet Process,                             Slides, Poster
    Michael Zhang, Avinava Dubey and Sinead Williamson

  5. Microclustering: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set, Poster
    Jeffrey W. Miller, Brenda Betancourt, Abbas Zaidi, Hanna Wallach and Rebecca C. Steorts

  6. Completely random measures for block-structured networks,
    Tue Herlau, Mikkel Schmidt and Morten Mørup

  7. Truncated Completely Random Measures,                                                                Slides, Poster
    Trevor Campbell, Jonathan Huggins, Tamara Broderick and Jonathan How

  8. A simple hierarchical infinite HMM with efficient inference,                                    Slides, Poster
    Ardavan Saeedi, Asma Ghandeharioun and Matt Hoffman

  9. Priors on exchangeable directed graphs,                                                                 Poster, Updated ArXiv Version
    Diana Cai, Nathanael Ackerman and Cameron Freer

  10. Modeling Heteroscedasticity with Bayesian Multiplicative Trees,                              Slides, Poster
    Matthew Pratola, Robert McCulloch, Hugh Chipman and Ed George

  11. BNP.jl: Bayesian nonparametrics in Julia,                                                                Poster, GitHub Project Page
    Martin Trapp
  12. Beyond LDA: Spectral Methods for Topic Modeling Based on Exchangeable Partitions,
    Forough Arabshahi, Roi Weiss and Animashree Anandkumar

  13. Approximate Bayesian Computation for Distance-Dependent Learning,                    Poster
    Soumya Ghosh and Erik Sudderth

  14. Infinite Mixture of Global Gaussian Processes,                                                          Poster
    Melanie F. Pradier and Fernando Perez-Cruz

  15. Interactive Hierarchical Clustering using Bayesian Nonparametrics,
    Sharad Vikram and Sanjoy Dasgupta

  16. A Hybridized Bayesian Parametric-Nonparametric Approach to the Pure Exploration Problem,                                                                                                                             Poster, Video
    Allan Axelrod and Girish Chowdhary

  17. A Coupled Emission Model for the Fragmentation-Coagulation Process,                    Poster
    Nilesh Tripuraneni, Hong Ge and Zoubin Ghahramani

  18. Iterative collapsed MAP inference for Bayesian nonparametrics,                             Poster, Updated ArXiv Version
    Yordan Raykov, Alexis Boukouvalas and Max Little

  19. Hierarchical Latent Word Clustering,
    Halid Ziya Yerebakan, Fitsum Reda, Yiqiang Zhan and Yoshihisa Shinagawa