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Oral
Tue Jun 11th 04:00 -- 04:20 PM @ Room 201
Subspace Robust Wasserstein Distances
François-Pierre Paty · Marco Cuturi
Oral
Tue Jun 11th 04:20 -- 04:25 PM @ Room 201
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models
Kaspar Märtens · Kieran Campbell · Christopher Yau
Oral
Tue Jun 11th 04:25 -- 04:30 PM @ Room 201
Active Manifolds: A non-linear analogue to Active Subspaces
Robert A Bridges · Anthony Gruber · Christopher Felder · Miki Verma · Chelsey Hoff
Oral
Tue Jun 11th 04:30 -- 04:35 PM @ Room 201
Optimal Minimal Margin Maximization with Boosting
Alexander Mathiasen · Kasper Green Larsen · Allan Grønlund
Oral
Tue Jun 11th 04:35 -- 04:40 PM @ Room 201
Generalized Linear Rule Models
Dennis Wei · Sanjeeb Dash · Tian Gao · Oktay Gunluk
Oral
Tue Jun 11th 04:40 -- 05:00 PM @ Room 201
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications
Pin-Yu Chen · Lingfei Wu · Sijia Liu · Indika Rajapakse
Oral
Tue Jun 11th 05:00 -- 05:05 PM @ Room 201
Variational Inference for sparse network reconstruction from count data
Julien Chiquet · Stephane Robin · Mahendra Mariadassou
Oral
Tue Jun 11th 05:05 -- 05:10 PM @ Room 201
Simplifying Graph Convolutional Networks
Felix Wu · Amauri Souza · Tianyi Zhang · Christopher Fifty · Tao Yu · Kilian Weinberger
Oral
Tue Jun 11th 05:10 -- 05:15 PM @ Room 201
Robust Influence Maximization for Hyperparametric Models
Dimitrios Kalimeris · Gal Kaplun · Yaron Singer
Oral
Tue Jun 11th 05:15 -- 05:20 PM @ Room 201
HyperGAN: A Generative Model for Diverse, Performant Neural Networks
Neale Ratzlaff · Fuxin Li