Toggle Poster Visibility
Oral
Wed Jun 12 08:00 AM -- 08:20 AM (KST) @ Room 201
Subspace Robust Wasserstein Distances
In
General ML
[
Video]
Oral
Wed Jun 12 08:20 AM -- 08:25 AM (KST) @ Room 201
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models
In
General ML
Oral
Wed Jun 12 08:25 AM -- 08:30 AM (KST) @ Room 201
Active Manifolds: A non-linear analogue to Active Subspaces
In
General ML
Oral
Wed Jun 12 08:30 AM -- 08:35 AM (KST) @ Room 201
Optimal Minimal Margin Maximization with Boosting
In
General ML
Oral
Wed Jun 12 08:40 AM -- 09:00 AM (KST) @ Room 201
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications
In
General ML
Oral
Wed Jun 12 09:00 AM -- 09:05 AM (KST) @ Room 201
Variational Inference for sparse network reconstruction from count data
In
General ML
Oral
Wed Jun 12 09:05 AM -- 09:10 AM (KST) @ Room 201
Simplifying Graph Convolutional Networks
In
General ML
Oral
Wed Jun 12 09:10 AM -- 09:15 AM (KST) @ Room 201
Robust Influence Maximization for Hyperparametric Models
In
General ML
Oral
Wed Jun 12 09:15 AM -- 09:20 AM (KST) @ Room 201
HyperGAN: A Generative Model for Diverse, Performant Neural Networks
In
General ML
Successful Page Load