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
|
|