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Probabilistic Modeling

2,252 papers

Papers per year

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Papers

Lifted Hybrid Variational Inference IJCAI 2020
Scaling Up AND/OR Abstraction Sampling IJCAI 2020
Neural Belief Reasoner IJCAI 2020
A Complete Characterization of Projectivity for Statistical Relational Models IJCAI 2020
State Variable Effects in Graphical Event Models IJCAI 2020
Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract) IJCAI 2020
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020
From Support Propagation to Belief Propagation in Constraint Programming (Extended Abstract) IJCAI 2020
Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 2020
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines IJCAI 2020
ASR-Free Pronunciation Assessment INTERSPEECH 2020
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning INTERSPEECH 2020
Generalized probabilistic principal component analysis of correlated data JMLR 2020
Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic Ising Models JMLR 2020
Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes JMLR 2020
A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020
High-Dimensional Inference for Cluster-Based Graphical Models JMLR 2020
Community-Based Group Graphical Lasso JMLR 2020
High-dimensional Gaussian graphical models on network-linked data JMLR 2020
Quantile Graphical Models: a Bayesian Approach JMLR 2020
Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching JMLR 2020
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality JMLR 2020