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