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Poster
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Tue 17:30
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Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Gaël Letarte · Pascal Germain · Benjamin Guedj · Francois Laviolette
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Poster
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Wed 10:45
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Learning Bayesian Networks with Low Rank Conditional Probability Tables
Adarsh Barik · Jean Honorio
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Poster
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Tue 17:30
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Universal Boosting Variational Inference
Trevor Campbell · Xinglong Li
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Poster
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Tue 17:30
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Variational Bayesian Decision-making for Continuous Utilities
Tomasz Kuśmierczyk · Joseph Sakaya · Arto Klami
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Poster
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Tue 17:30
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Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction
Difan Zou · Pan Xu · Quanquan Gu
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Poster
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Wed 10:45
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Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees
Alix LHERITIER · Frederic Cazals
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Poster
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Tue 10:45
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Convergence Guarantees for Adaptive Bayesian Quadrature Methods
Motonobu Kanagawa · Philipp Hennig
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Poster
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Thu 10:45
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Practical Two-Step Lookahead Bayesian Optimization
Jian Wu · Peter Frazier
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Poster
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Wed 10:45
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An Algorithm to Learn Polytree Networks with Hidden Nodes
Firoozeh Sepehr · Donatello Materassi
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Poster
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Thu 10:45
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Random deep neural networks are biased towards simple functions
Giacomo De Palma · Bobak Kiani · Seth Lloyd
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Poster
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Tue 17:30
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Online sampling from log-concave distributions
Holden Lee · Oren Mangoubi · Nisheeth Vishnoi
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Poster
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Tue 10:45
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Mutually Regressive Point Processes
Ifigeneia Apostolopoulou · Scott Linderman · Kyle Miller · Artur Dubrawski
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