Skip to yearly menu bar Skip to main content


Search All 2019 Events
 

Filter by Keyword:

175 Results

<<   <   Page 1 of 15   >   >>
Poster
Tue 10:45 Debiased Bayesian inference for average treatment effects
Kolyan Ray · Botond Szabo
Poster
Wed 10:45 Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
Jeremiah Liu · John Paisley · Marianthi-Anna Kioumourtzoglou · Brent Coull
Poster
Tue 17:30 Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
Creighton Heaukulani · Mark van der Wilk
Poster
Wed 17:00 Reconciling meta-learning and continual learning with online mixtures of tasks
Ghassen Jerfel · Erin Grant · Tom Griffiths · Katherine Heller
Poster
Wed 17:00 Function-Space Distributions over Kernels
Gregory Benton · Wesley Maddox · Jayson Salkey · Julio Albinati · Andrew Gordon Wilson
Poster
Tue 17:30 Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
Siqi Liu · Milos Hauskrecht
Poster
Wed 10:45 Random Tessellation Forests
Shufei Ge · Shijia Wang · Yee Whye Teh · Liangliang Wang · Lloyd Elliott
Poster
Wed 10:45 Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees
Alix LHERITIER · Frederic Cazals
Poster
Wed 10:45 Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation
Viet Anh Nguyen · Soroosh Shafieezadeh Abadeh · Man-Chung Yue · Daniel Kuhn · Wolfram Wiesemann
Poster
Tue 17:30 Identifying Causal Effects via Context-specific Independence Relations
Santtu Tikka · Antti Hyttinen · Juha Karvanen
Workshop
Sat 8:40 Jan-Willem van de Meent - Compositional Methods for Learning and Inference in Deep Probabilistic Programs
Jan-Willem van de Meent
Poster
Wed 17:00 Provable Gradient Variance Guarantees for Black-Box Variational Inference
Justin Domke