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Poster
Wed 18:30 Adaptive Bayesian Sampling with Monte Carlo EM
Anirban Roychowdhury · Srinivasan Parthasarathy
Poster
Tue 18:30 Linearly constrained Gaussian processes
Carl Jidling · Niklas Wahlström · Adrian Wills · Thomas Schön
Poster
Mon 18:30 Bayesian Dyadic Trees and Histograms for Regression
Stéphanie van der Pas · Veronika Rockova
Poster
Mon 18:30 Scalable Levy Process Priors for Spectral Kernel Learning
Phillip Jang · Andrew Loeb · Matthew Davidow · Andrew Wilson
Poster
Wed 18:30 Convolutional Gaussian Processes
Mark van der Wilk · Carl Edward Rasmussen · James Hensman
Poster
Tue 18:30 Bayesian Optimization with Gradients
Jian Wu · Matthias Poloczek · Andrew Wilson · Peter Frazier
Poster
Tue 18:30 Variational Inference for Gaussian Process Models with Linear Complexity
Ching-An Cheng · Byron Boots
Poster
Mon 18:30 Gaussian process based nonlinear latent structure discovery in multivariate spike train data
Anqi Wu · Nicholas Roy · Stephen Keeley · Jonathan Pillow
Poster
Tue 18:30 GP CaKe: Effective brain connectivity with causal kernels
Luca Ambrogioni · Max Hinne · Marcel Van Gerven · Eric Maris
Poster
Tue 18:30 On the Model Shrinkage Effect of Gamma Process Edge Partition Models
Iku Ohama · Issei Sato · Takuya Kida · Hiroki Arimura
Poster
Mon 18:30 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
Chris Oates · Steven Niederer · Angela Lee · François-Xavier Briol · Mark Girolami
Poster
Mon 18:30 YASS: Yet Another Spike Sorter
Jin Hyung Lee · David Carlson · Hooshmand Shokri Razaghi · Weichi Yao · Georges A Goetz · Espen Hagen · Eleanor Batty · E.J. Chichilnisky · Gaute T. Einevoll · Liam Paninski