Poster
|
Wed 9:00
|
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation
Emmanuel Abbe · Colin Sandon
|
|
Poster
|
Tue 9:00
|
Identification and Overidentification of Linear Structural Equation Models
Bryant Chen
|
|
Poster
|
Mon 9:00
|
Graph Clustering: Block-models and model free results
Yali Wan · Marina Meila
|
|
Poster
|
Tue 9:00
|
Constraints Based Convex Belief Propagation
Yaniv Tenzer · Alex Schwing · Kevin Gimpel · Tamir Hazan
|
|
Poster
|
Tue 9:00
|
Probabilistic Inference with Generating Functions for Poisson Latent Variable Models
Kevin Winner · Daniel Sheldon
|
|
Poster
|
Mon 9:00
|
Reconstructing Parameters of Spreading Models from Partial Observations
Andrey Lokhov
|
|
Poster
|
Mon 9:00
|
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks
Daniel Ritchie · Anna Thomas · Pat Hanrahan · Noah Goodman
|
|
Poster
|
Wed 9:00
|
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
Yexiang Xue · zhiyuan li · Stefano Ermon · Carla Gomes · Bart Selman
|
|
Workshop
|
Sat 0:30
|
Mladen Kolar. Post-Regularization Inference for Dynamic Nonparanormal Graphical Models.
Mladen Kolar
|
|
Poster
|
Tue 9:00
|
Variational Information Maximization for Feature Selection
Shuyang Gao · Greg Ver Steeg · Aram Galstyan
|
|
Poster
|
Wed 9:00
|
A Unified Approach for Learning the Parameters of Sum-Product Networks
Han Zhao · Pascal Poupart · Geoffrey Gordon
|
|
Poster
|
Wed 9:00
|
A Probabilistic Framework for Deep Learning
Ankit Patel · Tan Nguyen · Richard Baraniuk
|
|