Probabilistic Methods · Graphical Models

TitleAuthors
An Algorithm to Learn Polytree Networks with Hidden NodesFiroozeh Sepehr · Donatello Materassi
Approximating the Permanent by Sampling from Adaptive PartitionsJonathan Kuck · Tri Dao · Hamid Rezatofighi · Ashish Sabharwal · Stefano Ermon
Bayesian Joint Estimation of Multiple Graphical ModelsLingrui Gan · Xinming Yang · Naveen Narisetty · Feng Liang
Counting the Optimal Solutions in Graphical ModelsRadu Marinescu · Rina Dechter
Direct Estimation of Differential Functional Graphical ModelsBoxin Zhao · Y. Samuel Wang · Mladen Kolar
On Tractable Computation of Expected PredictionsPasha Khosravi · YooJung Choi · Yitao Liang · Antonio Vergari · Guy Van den Broeck
Smoothing Structured Decomposable CircuitsAndy Shih · Guy Van den Broeck · Paul Beame · Antoine Amarilli
Sparse Logistic Regression Learns All Discrete Pairwise Graphical ModelsShanshan Wu · Sujay Sanghavi · Alexandros Dimakis
Structured Graph Learning Via Laplacian Spectral ConstraintsSandeep Kumar · Jiaxi Ying · Jose Vinicius de Miranda Cardoso · Daniel Palomar