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Poster
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
Chaitanya Chemudugunta · Padhraic Smyth · Mark Steyvers
Author Information
Chaitanya Chemudugunta (University of California, Irvine)
Padhraic Smyth (University of California, Irvine)
Mark Steyvers (University of California, Irvine)
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2020 Poster: User-Dependent Neural Sequence Models for Continuous-Time Event Data »
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2017 : Coffee break and Poster Session II »
Mohamed Kane · Albert Haque · Vagelis Papalexakis · John Guibas · Peter Li · Carlos Arias · Eric Nalisnick · Padhraic Smyth · Frank Rudzicz · Xia Zhu · Theodore Willke · Noemie Elhadad · Hans Raffauf · Harini Suresh · Paroma Varma · Yisong Yue · Ognjen (Oggi) Rudovic · Luca Foschini · Syed Rameel Ahmad · Hasham ul Haq · Valerio Maggio · Giuseppe Jurman · Sonali Parbhoo · Pouya Bashivan · Jyoti Islam · Mirco Musolesi · Chris Wu · Alexander Ratner · Jared Dunnmon · Cristóbal Esteban · Aram Galstyan · Greg Ver Steeg · Hrant Khachatrian · Marc Górriz · Mihaela van der Schaar · Anton Nemchenko · Manasi Patwardhan · Tanay Tandon -
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2012 Workshop: Algorithmic and Statistical Approaches for Large Social Network Data Sets »
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2011 Oral: Continuous-Time Regression Models for Longitudinal Networks »
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2011 Poster: Continuous-Time Regression Models for Longitudinal Networks »
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2010 Spotlight: Learning concept graphs from text with stick-breaking priors »
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2010 Poster: Learning concept graphs from text with stick-breaking priors »
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2009 Poster: Particle-based Variational Inference for Continuous Systems »
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2008 Poster: Asynchronous Distributed Learning of Topic Models »
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2007 Session: Session 6: Cognitive Processes »
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2007 Poster: Distributed Inference for Latent Dirichlet Allocation »
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2006 Poster: Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models »
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2006 Poster: Hierarchical Dirichlet Processes with Random Effects »
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