|
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
|
Thu 7:45
|
Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations
Tong Wang
|
|
|
Poster
|
Thu 7:45
|
Deep Poisson gamma dynamical systems
Dandan Guo · Bo Chen · Hao Zhang · Mingyuan Zhou
|
|
|
Poster
|
Thu 7:45
|
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks
Quan Zhang · Mingyuan Zhou
|
|
|
Poster
|
Thu 7:45
|
Flexible and accurate inference and learning for deep generative models
Eszter Vértes · Maneesh Sahani
|
|
|
Poster
|
Thu 14:00
|
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
Priyank Jaini · Pascal Poupart · Yaoliang Yu
|
|
|
Poster
|
Thu 7:45
|
Bayesian Alignments of Warped Multi-Output Gaussian Processes
Markus Kaiser · Clemens Otte · Thomas Runkler · Carl Henrik Ek
|
|
|
Poster
|
Tue 7:45
|
GumBolt: Extending Gumbel trick to Boltzmann priors
Amir H Khoshaman · Mohammad Amin
|
|
|
Poster
|
Thu 7:45
|
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David Minnen · Johannes Ballé · Johannes Ballé · George D Toderici
|
|
|
Poster
|
Thu 7:45
|
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn · Kelvin Xu · Sergey Levine
|
|
|
Poster
|
Thu 7:45
|
Theoretical guarantees for EM under misspecified Gaussian mixture models
Raaz Dwivedi · nhật Hồ · Koulik Khamaru · Martin Wainwright · Michael Jordan
|
|
