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