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12 Results
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Poster
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Thu 1:00 |
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell · Insu Han · Elvis Dohmatob · Jennifer Gillenwater · Victor-Emmanuel Brunel |
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Oral
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Tue 4:23 |
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell · Insu Han · Elvis Dohmatob · Jennifer Gillenwater · Victor-Emmanuel Brunel |
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Poster
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Thu 1:00 |
Neural Topic Model via Optimal Transport He Zhao · Dinh Phung · Viet Huynh · Trung Le · Wray Buntine |
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Spotlight
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Tue 21:53 |
Neural Topic Model via Optimal Transport He Zhao · Dinh Phung · Viet Huynh · Trung Le · Wray Buntine |
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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 |
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka · Estelle Aflalo · Mattias Marder · Avrech Ben-David · Santiago Miret · Shie Mannor · Tamir Hazan · Hanlin Tang · Somdeb Majumdar |
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Poster
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Tue 1:00 |
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention Grégoire Mialon · Dexiong Chen · Alexandre d'Aspremont · Julien Mairal |
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Poster
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Mon 1:00 |
Wasserstein-2 Generative Networks Alexander Korotin · Vage Egiazarian · Arip Asadulaev · Alexander Safin · Evgeny Burnaev |
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Poster
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Tue 17:00 |
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang · Tian Qi Chen · Christos Tsirigotis · Aaron Courville |
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Poster
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Mon 9:00 |
Primal Wasserstein Imitation Learning Robert Dadashi · Léonard Hussenot-Desenonges · Matthieu Geist · Olivier Pietquin |
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Poster
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Thu 17:00 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Spotlight
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Thu 21:28 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |