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Graphical Models

933 directly classified papers

Papers per year

Papers

(RF)^2 -- Random Forest Random Field NIPS 2010
Copula Bayesian Networks NIPS 2010
Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010
MAP Estimation for Graphical Models by Likelihood Maximization NIPS 2010
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NIPS 2010
More data means less inference: A pseudo-max approach to structured 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
Sparse Inverse Covariance Selection via Alternating Linearization Methods 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
Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching AISTATS 2010