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Poster
Hierarchical Dirichlet Processes with Random Effects
Seyoung Kim · Padhraic Smyth
Author Information
Seyoung Kim (University of California, Irvine)
Padhraic Smyth (University of California, Irvine)
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2022 : Probabilistic Querying of Continuous-Time Sequential Events »
Alex Boyd · Yuxin Chang · Stephan Mandt · Padhraic Smyth -
2023 Poster: Zero-Shot Batch-Level Anomaly Detection »
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2022 Poster: Predictive Querying for Autoregressive Neural Sequence Models »
Alex Boyd · Samuel Showalter · Stephan Mandt · Padhraic Smyth -
2021 Poster: Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning »
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2021 Poster: Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration »
Gavin Kerrigan · Padhraic Smyth · Mark Steyvers -
2020 Poster: Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference »
Disi Ji · Padhraic Smyth · Mark Steyvers -
2020 Poster: User-Dependent Neural Sequence Models for Continuous-Time Event Data »
Alex Boyd · Robert Bamler · Stephan Mandt · Padhraic Smyth -
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 -
2016 Workshop: Towards an Artificial Intelligence for Data Science »
Charles Sutton · James Geddes · Zoubin Ghahramani · Padhraic Smyth · Chris Williams -
2012 Workshop: Algorithmic and Statistical Approaches for Large Social Network Data Sets »
Michael Goodrich · Pavel N Krivitsky · David M Mount · Christopher DuBois · Padhraic Smyth -
2011 Oral: Continuous-Time Regression Models for Longitudinal Networks »
Duy Q Vu · Arthur Asuncion · David Hunter · Padhraic Smyth -
2011 Poster: Continuous-Time Regression Models for Longitudinal Networks »
Duy Q Vu · Arthur Asuncion · David Hunter · Padhraic Smyth -
2010 Spotlight: Learning concept graphs from text with stick-breaking priors »
America Chambers · Padhraic Smyth · Mark Steyvers -
2010 Poster: Learning concept graphs from text with stick-breaking priors »
America Chambers · Padhraic Smyth · Mark Steyvers -
2009 Poster: Particle-based Variational Inference for Continuous Systems »
Alexander Ihler · Andrew Frank · Padhraic Smyth -
2008 Poster: Asynchronous Distributed Learning of Topic Models »
Arthur Asuncion · Padhraic Smyth · Max Welling -
2007 Spotlight: Distributed Inference for Latent Dirichlet Allocation »
David Newman · Arthur Asuncion · Padhraic Smyth · Max Welling -
2007 Poster: Distributed Inference for Latent Dirichlet Allocation »
David Newman · Arthur Asuncion · Padhraic Smyth · Max Welling -
2006 Poster: Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model »
Chaitanya Chemudugunta · Padhraic Smyth · Mark Steyvers -
2006 Poster: Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models »
Alexander Ihler · Padhraic Smyth