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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Discriminative Non-Parametric Learning of Arithmetic Circuits PGM 2020
Nonparametric graphical model for counts JMLR 2020
Uncertainty Quantification for Inferring Hawkes Networks NIPS 2020
Fairness constraints can help exact inference in structured prediction NIPS 2020
High-dimensional Gaussian graphical models on network-linked data JMLR 2020
Quantile Graphical Models: a Bayesian Approach JMLR 2020
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality 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
Community-Based Group Graphical Lasso JMLR 2020
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020
Probabilistic Linear Solvers for Machine Learning NIPS 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
Lifted Query Answering in Gaussian Bayesian Networks PGM 2020
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models COLT 2020
Bootstrapping neural processes NIPS 2020
Sampling from a k-DPP without looking at all items NIPS 2020
Generalized probabilistic principal component analysis of correlated data JMLR 2020
Stochastic Deep Gaussian Processes over Graphs NIPS 2020
Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes JMLR 2020
Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic Ising Models JMLR 2020
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking NIPS 2020
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings UAI 2020