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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Community-Based Group Graphical Lasso JMLR 2020
A Variational Point Process Model for Social Event Sequences AAAI 2020
Detecting and Tracking Communal Bird Roosts in Weather Radar Data AAAI 2020
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality JMLR 2020
High-dimensional Gaussian graphical models on network-linked data JMLR 2020
A New Perspective on Learning Context-Specific Independence PGM 2020
Particle Filter Recurrent Neural Networks AAAI 2020
Data Uncertainty Learning in Face Recognition CVPR 2020
Noise-Contrastive Estimation for Multivariate Point Processes NIPS 2020
Probabilistic Linear Solvers for Machine Learning NIPS 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
Generalized probabilistic principal component analysis of correlated data JMLR 2020
A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020
Probabilistic Circuits for Variational Inference in Discrete Graphical Models NIPS 2020
Improving Local Identifiability in Probabilistic Box Embeddings NIPS 2020
Generalised Bayesian Filtering via Sequential Monte Carlo NIPS 2020
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures PGM 2020
Probabilistic Time Series Forecasting with Shape and Temporal Diversity NIPS 2020
Probabilistic Orientation Estimation with Matrix Fisher Distributions NIPS 2020
Probabilistic Regression for Visual Tracking CVPR 2020
Diversified Bayesian Nonnegative Matrix Factorization AAAI 2020
HARK: Harshness-Aware Sentiment Analysis Framework for Product Review (Student Abstract) AAAI 2020
Discriminative Non-Parametric Learning of Arithmetic Circuits PGM 2020