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15 Results

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Poster
Thu 7:45 Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
David Reeb · Andreas Doerr · Sebastian Gerwinn · Barbara Rakitsch
Poster
Thu 7:45 Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net
Tom Michoel
Poster
Tue 14:00 Bayesian Nonparametric Spectral Estimation
Felipe Tobar
Poster
Thu 7:45 Posterior Concentration for Sparse Deep Learning
Veronika Rockova · nicholas polson
Poster
Wed 7:45 Predictive Approximate Bayesian Computation via Saddle Points
Yingxiang Yang · Bo Dai · Negar Kiyavash · Niao He
Poster
Wed 14:00 Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
Michael Gimelfarb · Scott Sanner · Chi-Guhn Lee
Poster
Wed 14:00 Robust Learning of Fixed-Structure Bayesian Networks
Yu Cheng · Ilias Diakonikolas · Daniel Kane · Alistair Stewart
Poster
Thu 7:45 Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors
Fei Jiang · Guosheng Yin · Francesca Dominici
Poster
Thu 14:00 Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation
Shivapratap Gopakumar · Sunil Gupta · Santu Rana · Vu Nguyen · Svetha Venkatesh
Poster
Tue 14:00 Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences
Jeremias Knoblauch · Jack E Jewson · Theodoros Damoulas
Poster
Wed 14:00 Learning Invariances using the Marginal Likelihood
Mark van der Wilk · Matthias Bauer · ST John · James Hensman
Poster
Thu 7:45 Implicit Probabilistic Integrators for ODEs
Onur Teymur · Han Cheng Lie · Tim Sullivan · Ben Calderhead