|
Poster
|
Wed 5:00
|
Online Bayesian Moment Matching based SAT Solver Heuristics
Haonan Duan · Saeed Nejati · George Trimponias · Pascal Poupart · Vijay Ganesh
|
|
|
Poster
|
Tue 7:00
|
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Richard Zhang · Daniel Golovin
|
|
|
Poster
|
Tue 9:00
|
Disentangling Trainability and Generalization in Deep Neural Networks
Lechao Xiao · Jeffrey Pennington · Samuel Schoenholz
|
|
|
Poster
|
Thu 6:00
|
BINOCULARS for efficient, nonmyopic sequential experimental design
Shali Jiang · Henry Chai · Javier Gonzalez · Roman Garnett
|
|
|
Poster
|
Thu 6:00
|
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics
Matthew Hoffman · Yian Ma
|
|
|
Poster
|
Wed 9:00
|
Ordinal Non-negative Matrix Factorization for Recommendation
Olivier Gouvert · Thomas Oberlin · Cedric Fevotte
|
|
|
Poster
|
Thu 6:00
|
Causal Inference using Gaussian Processes with Structured Latent Confounders
Sam Witty · Kenta Takatsu · David Jensen · Vikash Mansinghka
|
|
|
Poster
|
Wed 11:00
|
DeBayes: a Bayesian Method for Debiasing Network Embeddings
Maarten Buyl · Tijl De Bie
|
|
|
Poster
|
Tue 7:00
|
Recurrent Hierarchical Topic-Guided RNN for Language Generation
Dandan Guo · Bo Chen · Ruiying Lu · Mingyuan Zhou
|
|
|
Poster
|
Tue 7:00
|
Amortized Population Gibbs Samplers with Neural Sufficient Statistics
Hao Wu · Heiko Zimmermann · Eli Sennesh · Tuan Anh Le · Jan-Willem van de Meent
|
|
|
Poster
|
Wed 8:00
|
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
Zhe Zeng · Paolo Morettin · Fanqi Yan · Antonio Vergari · Guy Van den Broeck
|
|
|
Poster
|
Wed 12:00
|
Convergence Rates of Variational Inference in Sparse Deep Learning
Badr-Eddine Chérief-Abdellatif
|
|
