Workshop
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Fri 16:35
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The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
Arun Suggala
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Poster
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Tue 18:30
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Non-parametric Structured Output Networks
Andreas Lehrmann · Leonid Sigal
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Poster
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Mon 18:30
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Inference in Graphical Models via Semidefinite Programming Hierarchies
Murat Erdogdu · Yash Deshpande · Andrea Montanari
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Poster
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Mon 18:30
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A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks
Qinliang Su · xuejun Liao · Lawrence Carin
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Poster
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Tue 18:30
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Differentiable Learning of Submodular Functions
Josip Djolonga · Andreas Krause
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Poster
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Tue 18:30
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Robust Conditional Probabilities
Yoav Wald · Amir Globerson
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Poster
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Tue 18:30
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The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
Arun Suggala · Mladen Kolar · Pradeep Ravikumar
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Poster
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Mon 18:30
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Dynamic Importance Sampling for Anytime Bounds of the Partition Function
Qi Lou · Rina Dechter · Alexander Ihler
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Poster
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Mon 18:30
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Uprooting and Rerooting Higher-Order Graphical Models
Mark Rowland · Adrian Weller
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Poster
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Mon 18:30
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Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
Asish Ghoshal · Jean Honorio
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Poster
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Mon 18:30
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Scalable Model Selection for Belief Networks
Zhao Song · Yusuke Muraoka · Ryohei Fujimaki · Lawrence Carin
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Poster
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Mon 18:30
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Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
Constantinos Daskalakis · Nishanth Dikkala · Gautam Kamath
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