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27 Results
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Poster
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Wed 9:00 |
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning Elan Markowitz · Keshav Balasubramanian · Mehrnoosh Mirtaheri · Sami Abu-El-Haija · Bryan Perozzi · Greg Ver Steeg · Aram Galstyan |
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Poster
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Wed 9:00 |
TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks Martin Trimmel · Henning Petzka · Cristian Sminchisescu |
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Poster
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Tue 17:00 |
Individually Fair Rankings Amanda Bower · Hamid Eftekhari · Mikhail Yurochkin · Yuekai Sun |
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Poster
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Mon 17:00 |
Partitioned Learned Bloom Filters Kapil Vaidya · Eric Knorr · Michael Mitzenmacher · Tim Kraska |
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Poster
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Wed 9:00 |
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat · Jennifer Gillenwater · Eric P Xing · Afshin Rostamizadeh |
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Poster
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Tue 17:00 |
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs Meng Qu · Junkun Chen · Louis-Pascal A Xhonneux · Yoshua Bengio · Jian Tang |
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Poster
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Tue 1:00 |
Neurally Augmented ALISTA Freya Behrens · Jonathan Sauder · Peter Jung |
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Poster
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Mon 17:00 |
Regularized Inverse Reinforcement Learning Wonseok Jeon · Chen-Yang Su · Paul Barde · Thang Doan · Derek Nowrouzezahrai · Joelle Pineau |
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Poster
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Thu 1:00 |
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning Enrico Marchesini · Davide Corsi · Alessandro Farinelli |
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Spotlight
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Wed 21:35 |
Regularized Inverse Reinforcement Learning Wonseok Jeon · Chen-Yang Su · Paul Barde · Thang Doan · Derek Nowrouzezahrai · Joelle Pineau |
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Poster
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Mon 1:00 |
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu |
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Spotlight
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Wed 5:35 |
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu |