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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning INTERSPEECH 2020
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality JMLR 2020
Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020
Nonparametric graphical model for counts JMLR 2020
Strudel: Learning Structured-Decomposable Probabilistic Circuits PGM 2020
ASR-Free Pronunciation Assessment INTERSPEECH 2020
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control L4DC 2020
Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data PGM 2020
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020
Approximating bounded tree-width Bayesian network classifiers with OBDD PGM 2020
Sample Complexity of Kalman Filtering for Unknown Systems L4DC 2020
On Simulation and Trajectory Prediction with Gaussian Process Dynamics L4DC 2020
Regret Bound for Safe Gaussian Process Bandit Optimization L4DC 2020
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables ICML 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations AAAI 2020
Robust Data Programming with Precision-guided Labeling Functions AAAI 2020
Probabilistic Graphical Models with Neural Networks in InferPy PGM 2020
Exponential Family Graph Embeddings AAAI 2020
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting AAAI 2020