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Poster
Wed 6:00 Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
Robin Vogel · Aurélien Bellet · Stephan Clémençon
Poster
Thu 7:30 Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
Alexander Camuto · Matthew Willetts · Stephen Roberts · Chris Holmes · Tom Rainforth
Poster
Tue 14:00 On the Privacy Properties of GAN-generated Samples
Zinan Lin · Vyas Sekar · Giulia Fanti
Poster
Tue 18:30 GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
Mucong Ding · Constantinos Daskalakis · Soheil Feizi
Poster
Wed 6:00 On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models
Yuyang Shi · Rob Cornish
Poster
Wed 12:45 Provable Hierarchical Imitation Learning via EM
Zhiyu Zhang · Ioannis Paschalidis
Poster
Wed 6:00 Nonlinear Functional Output Regression: A Dictionary Approach
Dimitri Bouche · Marianne Clausel · François Roueff · Florence d'Alché-Buc
Poster
Wed 6:00 Fisher Auto-Encoders
Khalil Elkhalil · Ali Hasan · Jie Ding · Sina Farsiu · Vahid Tarokh
Poster
Tue 14:00 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
Yu Gong · Hossein Hajimirsadeghi · Jiawei He · Thibaut Durand · Greg Mori
Poster
Thu 7:30 Latent variable modeling with random features
Gregory Gundersen · Michael Zhang · Barbara Engelhardt
Poster
Thu 7:30 Variational Autoencoder with Learned Latent Structure
Marissa Connor · Gregory Canal · Christopher Rozell
Poster
Wed 12:45 Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
Nikhil Mehta · Kevin Liang · Vinay Kumar Verma · Lawrence Carin Duke