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Poster
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Wed 7:45
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Computationally and statistically efficient learning of causal Bayes nets using path queries
Kevin Bello · Jean Honorio
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Poster
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Wed 14:00
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Proximal Graphical Event Models
Debarun Bhattacharjya · Dharmashankar Subramanian · Tian Gao
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Poster
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Wed 14:00
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DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng · Bryon Aragam · Pradeep Ravikumar · Eric Xing
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Poster
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Thu 7:45
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Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language
Matthew D. Hoffman · Matthew Johnson · Dustin Tran
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Poster
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Thu 7:45
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Provable Gaussian Embedding with One Observation
Ming Yu · Zhuoran Yang · Tuo Zhao · Mladen Kolar · Zhaoran Wang
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Poster
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Thu 14:00
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Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
Priyank Jaini · Pascal Poupart · Yaoliang Yu
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Poster
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Wed 7:45
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Exponentiated Strongly Rayleigh Distributions
Zelda Mariet · Suvrit Sra · Stefanie Jegelka
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Poster
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Thu 7:45
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Flexible and accurate inference and learning for deep generative models
Eszter Vértes · Maneesh Sahani
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Poster
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Thu 14:00
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Learning semantic similarity in a continuous space
Michel Deudon
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Poster
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Tue 14:00
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Generalizing Tree Probability Estimation via Bayesian Networks
Cheng Zhang · Frederick A Matsen IV
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Poster
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Thu 7:45
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Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Dominik Linzner · Heinz Koeppl
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Poster
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Wed 14:00
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Contextual Stochastic Block Models
Yash Deshpande · Subhabrata Sen · Andrea Montanari · Elchanan Mossel
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