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Workshop
Fri 8:00 Maria DeYoreo: A Markovian Model for Nonstationary Time Series via Bayesian nonparametrics
Poster
Tue 9:00 Gaussian Processes for Survival Analysis
Tamara Fernandez · Nicolas Rivera · Yee Whye Teh
Poster
Tue 9:00 Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria · Amit Deshpande · Pushmeet Kohli
Poster
Mon 9:00 Edge-exchangeable graphs and sparsity
Diana Cai · Trevor Campbell · Tamara Broderick
Poster
Tue 9:00 The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
Jian Wu · Peter Frazier
Workshop
Thu 23:00 Practical Bayesian Nonparametrics
Nick Foti · Tamara Broderick · Trevor Campbell · Michael Hughes · Jeffrey Miller · Aaron Schein · Sinead Williamson · Yanxun Xu
Poster
Mon 9:00 Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models
Juho Lee · Lancelot F James · Seungjin Choi
Poster
Mon 9:00 Completely random measures for modelling block-structured sparse networks
Tue Herlau · Mikkel N Schmidt · Morten Mørup
Poster
Mon 9:00 Flexible Models for Microclustering with Application to Entity Resolution
Brenda Betancourt · Giacomo Zanella · Jeffrey Miller · Hanna Wallach · Abbas Zaidi · Beka Steorts
Poster
Wed 9:00 Infinite Hidden Semi-Markov Modulated Interaction Point Process
matt zhang · Peng Lin · Peng Lin · Ting Guo · Yang Wang · Yang Wang · Fang Chen
Poster
Mon 9:00 Distributed Flexible Nonlinear Tensor Factorization
Shandian Zhe · Kai Zhang · Pengyuan Wang · Kuang-chih Lee · Zenglin Xu · Yuan Qi · Zoubin Ghahramani
Poster
Wed 9:00 The Forget-me-not Process
Kieran Milan · Joel Veness · James Kirkpatrick · Michael Bowling · Anna Koop · Demis Hassabis