conftrace_

graphical model

864 papers

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Also known as

GM

Co-occurring keywords

structure learning (341) causal inference (1630) bayesian network (378) causal discovery (460) probabilistic inference (312) belief propagation (177) approximate inference (253) probabilistic modeling (852) bayesian inference (1907) markov random field (303)

Papers

Clamping Variables and Approximate Inference NIPS 2014
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NIPS 2014
Making Pairwise Binary Graphical Models Attractive NIPS 2014
Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014
PatchMatch Based Joint View Selection and Depthmap Estimation CVPR 2014
Estimating Latent-Variable Graphical Models using Moments and Likelihoods ICML 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NIPS 2014
On the Information Theoretic Limits of Learning Ising Models NIPS 2014
Mode Estimation for High Dimensional Discrete Tree Graphical Models NIPS 2014
Discrete-Continuous Depth Estimation from a Single Image CVPR 2014
Scaling-up Importance Sampling for Markov Logic Networks NIPS 2014
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NIPS 2014
Learning convolution filters for inverse covariance estimation of neural network connectivity NIPS 2014
Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014
Random Bayesian networks with bounded indegree AISTATS 2014
The Bigraphical Lasso ICML 2013
First-order Decomposition Trees NIPS 2013
EDML for Learning Parameters in Directed and Undirected Graphical Models NIPS 2013
Sparse Inverse Covariance Estimation with Calibration NIPS 2013
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation NIPS 2013
On Poisson Graphical Models NIPS 2013
Variational Planning for Graph-based MDPs NIPS 2013
Embed and Project: Discrete Sampling with Universal Hashing NIPS 2013
Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013
Continuous Inference in Graphical Models with Polynomial Energies CVPR 2013