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91 Results
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Poster
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Wed 9:00 |
Variational Inference in Mixed Probabilistic Submodular Models Josip Djolonga · Sebastian Tschiatschek · Andreas Krause |
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Poster
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Wed 9:00 |
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin · Botond Cseke · Ryota Tomioka |
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Poster
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Mon 9:00 |
Flexible Models for Microclustering with Application to Entity Resolution Brenda Betancourt · Giacomo Zanella · Jeffrey Miller · Hanna Wallach · Abbas Zaidi · Beka Steorts |
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Poster
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Mon 9:00 |
A Probabilistic Model of Social Decision Making based on Reward Maximization Koosha Khalvati · Seongmin A. Park · Jean-Claude Dreher · Rajesh PN Rao |
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Poster
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Wed 9:00 |
A Probabilistic Framework for Deep Learning Ankit Patel · Tan Nguyen · Richard Baraniuk |
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Oral
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Wed 2:00 |
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks Tianfan Xue · Jiajun Wu · Katherine Bouman · Bill Freeman |
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Poster
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Wed 9:00 |
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks Tianfan Xue · Jiajun Wu · Katherine Bouman · Bill Freeman |