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Spotlight
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Wed 10:35
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Counting the Optimal Solutions in Graphical Models
Radu Marinescu · Rina Dechter
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Spotlight
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Wed 10:20
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Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu · Sujay Sanghavi · Alex Dimakis
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Poster
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Thu 17:00
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Graph Structured Prediction Energy Networks
Colin Graber · Alex Schwing
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Poster
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Wed 10:45
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Smoothing Structured Decomposable Circuits
Andy Shih · Guy Van den Broeck · Paul Beame · Antoine Amarilli
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Poster
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Wed 10:45
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Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu · Sujay Sanghavi · Alex Dimakis
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Poster
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Tue 10:45
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Differentially Private Bayesian Linear Regression
Garrett Bernstein · Daniel Sheldon
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Poster
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Wed 10:45
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Counting the Optimal Solutions in Graphical Models
Radu Marinescu · Rina Dechter
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Poster
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Tue 17:30
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Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
Ruqi Zhang · Christopher De Sa
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Poster
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Wed 10:45
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Direct Estimation of Differential Functional Graphical Models
Boxin Zhao · Y. Samuel Wang · Mladen Kolar
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Poster
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Wed 10:45
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Approximating the Permanent by Sampling from Adaptive Partitions
Jonathan Kuck · Tri Dao · Hamid Rezatofighi · Ashish Sabharwal · Stefano Ermon
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Poster
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Wed 10:45
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Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
Frederic Koehler
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Poster
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Tue 17:30
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Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
Junzhe Zhang · Elias Bareinboim
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