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Poster
Wed 10:45 Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Andrey Malinin · Mark Gales
Poster
Tue 10:45 Near Neighbor: Who is the Fairest of Them All?
Sariel Har-Peled · Sepideh Mahabadi
Poster
Tue 17:30 Residual Flows for Invertible Generative Modeling
Tian Qi Chen · Jens Behrmann · David Duvenaud · Joern-Henrik Jacobsen
Poster
Tue 10:45 Input Similarity from the Neural Network Perspective
Guillaume Charpiat · Nicolas Girard · Loris Felardos · Yuliya Tarabalka
Poster
Tue 17:30 Toward a Characterization of Loss Functions for Distribution Learning
Nika Haghtalab · Cameron Musco · Bo Waggoner
Poster
Thu 17:00 Sample Complexity of Learning Mixture of Sparse Linear Regressions
Akshay Krishnamurthy · Arya Mazumdar · Andrew McGregor · Soumyabrata Pal
Poster
Tue 17:30 MaCow: Masked Convolutional Generative Flow
Xuezhe Ma · Xiang Kong · Shanghang Zhang · Eduard Hovy
Poster
Tue 10:45 Neural Networks with Cheap Differential Operators
Tian Qi Chen · David Duvenaud
Poster
Thu 17:00 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal · Shashank Singh · Barnabas Poczos
Poster
Tue 17:30 Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities
Wei Qian · Yuqian Zhang · Yudong Chen
Poster
Tue 17:30 Adaptive Density Estimation for Generative Models
Thomas Lucas · Konstantin Shmelkov · Karteek Alahari · Cordelia Schmid · Jakob Verbeek
Oral
Thu 16:25 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal · Shashank Singh · Barnabas Poczos