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33 Results
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Poster
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Mon 18:30 |
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Asish Ghoshal · Jean Honorio |
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Poster
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Wed 18:30 |
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra John T Halloran · David M Rocke |
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Poster
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Tue 18:30 |
Asynchronous Parallel Coordinate Minimization for MAP Inference Ofer Meshi · Alex Schwing |
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Poster
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Tue 18:30 |
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization Pan Xu · Jian Ma · Quanquan Gu |
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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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Poster
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Mon 18:30 |
Neural Variational Inference and Learning in Undirected Graphical Models Volodymyr Kuleshov · Stefano Ermon |
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Poster
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Mon 18:30 |
A Screening Rule for l1-Regularized Ising Model Estimation Zhaobin Kuang · Sinong Geng · David Page |
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Poster
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Wed 18:30 |
Min-Max Propagation Christopher Srinivasa · Inmar Givoni · Siamak Ravanbakhsh · Brendan J Frey |
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Poster
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Mon 18:30 |
Gauging Variational Inference Sungsoo Ahn · Michael Chertkov · Jinwoo Shin |
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Poster
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Wed 18:30 |
Linear Time Computation of Moments in Sum-Product Networks Han Zhao · Geoffrey Gordon |
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Poster
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Wed 18:30 |
Learning Causal Structures Using Regression Invariance AmirEmad Ghassami · Saber Salehkaleybar · Negar Kiyavash · Kun Zhang |
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Poster
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Tue 18:30 |
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models Alex Lamb · R Devon Hjelm · Yaroslav Ganin · Joseph Paul Cohen · Aaron Courville · Yoshua Bengio |