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Oral
Tue Jun 11 04:00 PM -- 04:20 PM (PDT) @ Room 201
Subspace Robust Wasserstein Distances
In
General ML
[
Video]
Oral
Tue Jun 11 04:20 PM -- 04:25 PM (PDT) @ Room 201
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models
In
General ML
Oral
Tue Jun 11 04:25 PM -- 04:30 PM (PDT) @ Room 201
Active Manifolds: A non-linear analogue to Active Subspaces
In
General ML
Oral
Tue Jun 11 04:30 PM -- 04:35 PM (PDT) @ Room 201
Optimal Minimal Margin Maximization with Boosting
In
General ML
Oral
Tue Jun 11 04:40 PM -- 05:00 PM (PDT) @ Room 201
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications
In
General ML
Oral
Tue Jun 11 05:00 PM -- 05:05 PM (PDT) @ Room 201
Variational Inference for sparse network reconstruction from count data
In
General ML
Oral
Tue Jun 11 05:05 PM -- 05:10 PM (PDT) @ Room 201
Simplifying Graph Convolutional Networks
In
General ML
Oral
Tue Jun 11 05:10 PM -- 05:15 PM (PDT) @ Room 201
Robust Influence Maximization for Hyperparametric Models
In
General ML
Oral
Tue Jun 11 05:15 PM -- 05:20 PM (PDT) @ Room 201
HyperGAN: A Generative Model for Diverse, Performant Neural Networks
In
General ML