Schedule

The Dec 10 workshop schedule will be:

Morning:
 7:30-7:35 Introduction
 7:35-8:20 Invited talk: Dave Blei
Probabilistic Topic Models: Origins and Challenges [slides]
 8:20-8:40 Contributed talk:
Margaret Roberts, Brandon Stewart, Dustin Tingley and Edoardo Airoldi.
"The Structural Topic Model and Applied Social Science" [slides]
 8:40-9:00 Contributed talk:
Frank Rosner, Alexander Hinneburg, Michael Röder, Martin Nettling and Andreas Both.  "Evaluating topic coherence measures"
 9:00-9:30 Break and Poster session 1
 9:30-10:15 Invited talk: Alexander Smola
Hierarchy and Structure: Nonparametric models for space, language, and relations
 10:15-10:30 Poster session 1 (continued)

Afternoon:
 15:30-15:45 Poster session 2
 15:45-16:30 Invited talk: Anima Anandkumar
Guaranteed Learning of Overcomplete Latent Representations [slides]
 16:30-16:50 Contributed talk:
Jason Chuang, Yuening Hu, Ashley Jin, John D. Wilkerson, Daniel A. McFarland, Christopher D. Manning and Jeffrey Heer. "Document Exploration with Topic Modeling: Designing Interactive Visualizations to Support Effective Analysis Workflows" [slides]
 16:50-17:20 Break and Poster session 2 (continued)
 17:20-17:40 Contributed talk:
Furong Huang, Niranjan U N and Animashree Anandkumar. "Fast Detection of Overlapping Communities via Online Tensor Methods" [slides]
 17:40-18:30 Group discussion


Poster session 1:

  1. Zhibo Xiao, Enuo Miao and Mingyu Lu. Ranking topic model based automatic summary: a win-win situation
  2. Furong Huang, Niranjan U N and Animashree Anandkumar. Fast Detection of Overlapping Communities via Online Tensor Methods
  3. Kar Wai Lim, Changyou Chen and Wray Buntine. Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling
  4. Wray Lindsay Buntine and Swapnil Mishra. Developing Topic Models for Information Retrieval
  5. Weicong Ding, Prakash Ishwar, Mohammad Rohban and Venkatesh Saligrama. Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models
  6. Frank Rosner, Alexander Hinneburg, Michael Röder, Martin Nettling and Andreas Both. Evaluating topic coherence measures
  7. Saurav Ghosh, Theodoros Rekatsinas, Sumiko Mekaru, Elaine Nsoesie, John Brownstein, Lise Getoor and Naren Ramakrishnan. Forecasting Rare Disease Outbreaks with Spatio-temporal Topic Models
  8. Prasanth Lade, Vineeth N Balasubramanian and Sethuraman Panchanathan. Probabilistic Topic Models for Human Emotion Analysis
  9. Robert Sprague and Nicole Barberis. An Ontology of Privacy Law Derived from Published Articles Using Latent Dirichlet Allocation Probabilistic Topic Modeling
  10. Bo Xie, Le Song and Haesun Park. Topic Modeling via Nonnegative Matrix Factorization on Probability Simplex
  11. Ayan Acharya, Raymond Moooney and Joydeep Ghosh. Active Multitask Learning with Doubly Supervised Latent Dirichlet Allocation
  12. Uri Shalit, Daphna Weinshall and Gal Chechik. Modeling Musical Influence with Topic Models
  13. Yuening Hu, Ke Zhai, Vladimir Edelman and Jordan Boyd-Graber. Topic Models for Translation Domain Adaptation
  14. Rasmus Troelsgård, Bjørn Jensen and Lars Kai Hansen. A Topic Model Approach to Multi-Modal Similarity
Poster Session 2:
  1. Francis Ferraro, Benjamin Van Durme and Yanif Ahmad. Evaluating Progress in Probabilistic Programming through Topic Models
  2. William Darling and Fei Song. Syntactic Topic Models for Language Generation
  3. Jason Chuang, Yuening Hu, Ashley Jin, John D. Wilkerson, Daniel A. McFarland, Christopher D. Manning and Jeffrey Heer. Document Exploration with Topic Modeling: Designing Interactive Visualizations to Support Effective Analysis Workflows
  4. Ehsaneddin Asgari, Marzyeh Ghassemi and Mark Finlayson. Confirming the themes and interpretive unity of Ghazal poetry using topic models
  5. Tsuyoshi Okita and Josef van Genabith. Selection-based language model for domain adaptation using topic modeling
  6. Joe Staines and David Barber. Topic Factor Modelling: uncovering thematic structure in financial data
  7. Diane Hu, Rob Hall and Josh Attenberg. Discovering Taste and Interests on Etsy
  8. Margaret Roberts, Brandon Stewart, Dustin Tingley and Edoardo Airoldi. The Structural Topic Model and Applied Social Science
  9. Christopher Johnson-Roberson and Matthew Johnson-Roberson. Temporal and Regional Variation in Rap Lyrics
  10. James Foulds and Padhraic Smyth. Robust Evaluation of Topic Models
  11. Thang Nguyen, Yuening Hu and Jordan Boyd-Graber. Evaluating Regularized Anchor Words
  12. Viet-An Nguyen, Jordan Boyd-Graber, Jonathan Chang and Philip Resnik. Tree-based Label Dependency Topic Models
  13. Arnim Bleier. Practical Collapsed Stochastic Variational Inference for the HDP
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