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Graphical Models

985 papers

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Papers

Structured Determinantal Point Processes NIPS 2010
Sparse Inverse Covariance Selection via Alternating Linearization Methods NIPS 2010
(RF)^2 -- Random Forest Random Field NIPS 2010
Copula Bayesian Networks NIPS 2010
Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
More data means less inference: A pseudo-max approach to structured learning NIPS 2010
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NIPS 2010
Worst-case bounds on the quality of max-product fixed-points NIPS 2010
Implicit Differentiation by Perturbation NIPS 2010
Exact inference and learning for cumulative distribution functions on loopy graphs NIPS 2010
Graph-Valued Regression NIPS 2010
MAP estimation in Binary MRFs via Bipartite Multi-cuts NIPS 2010
Efficient Relational Learning with Hidden Variable Detection NIPS 2010
On the Convexity of Latent Social Network Inference NIPS 2010
Brain covariance selection: better individual functional connectivity models using population prior NIPS 2010
Learning Efficient Markov Networks NIPS 2010
Inference with Multivariate Heavy-Tails in Linear Models NIPS 2010
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010
Neural conditional random fields AISTATS 2010
Graphical Gaussian modelling of multivariate time series with latent variables AISTATS 2010
On Combining Graph-based Variance Reduction schemes AISTATS 2010
Boosted Optimization for Network Classification AISTATS 2010
Maximum-likelihood learning of cumulative distribution functions on graphs AISTATS 2010
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010