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152 Results
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Poster
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Mon 18:30 |
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis Kristjan Greenewald · Seyoung Park · Shuheng Zhou · Alexander Giessing |
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Workshop
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Fri 9:00 |
A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks FARSHAD HARIRCHI |
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Poster
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Mon 18:30 |
Value Prediction Network Junhyuk Oh · Satinder Singh · Honglak Lee |
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Spotlight
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Tue 17:40 |
Parameter-Free Online Learning via Model Selection Dylan J Foster · Satyen Kale · Mehryar Mohri · Karthik Sridharan |
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Poster
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Mon 18:30 |
Inferring Generative Model Structure with Static Analysis Paroma Varma · Bryan He · Payal Bajaj · Nishith Khandwala · Imon Banerjee · Daniel Rubin · Christopher Ré |
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Poster
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Mon 18:30 |
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting Rebecca Morrison · Ricardo Baptista · Youssef Marzouk |
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Poster
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Wed 18:30 |
Reinforcement Learning under Model Mismatch Aurko Roy · Huan Xu · Sebastian Pokutta |
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Poster
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Tue 18:30 |
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples Moustapha Cisse · Yossi Adi · Natalia Neverova · Joseph Keshet |
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Poster
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Mon 18:30 |
VAIN: Attentional Multi-agent Predictive Modeling Yedid Hoshen |
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Poster
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Tue 18:30 |
Robust Conditional Probabilities Yoav Wald · Amir Globerson |
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Poster
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Wed 18:30 |
Dual Discriminator Generative Adversarial Nets Tu Nguyen · Trung Le · Hung Vu · Dinh Phung |
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Poster
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Tue 18:30 |
Differentiable Learning of Submodular Functions Josip Djolonga · Andreas Krause |