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33 Results
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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 |
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications Linus Hamilton · Frederic Koehler · Ankur Moitra |
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Poster
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Wed 18:30 |
Learning Chordal Markov Networks via Branch and Bound Kari Rantanen · Antti Hyttinen · Matti Järvisalo |
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Poster
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Mon 18:30 |
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy · Brooks Paige · Jan-Willem van de Meent · Alban Desmaison · Noah Goodman · Pushmeet Kohli · Frank Wood · Philip Torr |
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Poster
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Mon 18:30 |
Parametric Simplex Method for Sparse Learning Haotian Pang · Han Liu · Robert J Vanderbei · Tuo Zhao |
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Poster
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Wed 18:30 |
Permutation-based Causal Inference Algorithms with Interventions Yuhao Wang · Liam Solus · Karren Yang · Caroline Uhler |
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Poster
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Tue 18:30 |
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms Yogatheesan Varatharajah · Min Jin Chong · Krishnakant Saboo · Brent M Berry · Benjamin Brinkmann · Gregory Worrell · Ravishankar Iyer |
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Poster
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Tue 18:30 |
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces Daniel Milstein · Jason Pacheco · Leigh Hochberg · John D Simeral · Beata Jarosiewicz · Erik Sudderth |
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Poster
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Tue 18:30 |
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms Marco Cusumano-Towner · Vikash Mansinghka |