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Probabilistic Modeling

2591 directly classified papers

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Papers

Healing Products of Gaussian Process Experts ICML 2020
Randomly Projected Additive Gaussian Processes for Regression ICML 2020
Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020
A Probabilistic Formulation of Unsupervised Text Style Transfer ICLR 2020
NGBoost: Natural Gradient Boosting for Probabilistic Prediction ICML 2020
Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models EMNLP 2020
Scalable Nonparametric Factorization for High-Order Interaction Events AISTATS 2020
Probabilistic Symmetries and Invariant Neural Networks JMLR 2020
Probabilistic Reasoning Across the Causal Hierarchy AAAI 2020
Gaussianization Flows AISTATS 2020
Correcting Predictions for Approximate Bayesian Inference AAAI 2020
Information Theoretic Optimal Learning of Gaussian Graphical Models COLT 2020
Expressiveness and Learning of Hidden Quantum Markov Models AISTATS 2020
Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs AAAI 2020
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion EMNLP 2020
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare AAAI 2020
PoRB-Nets: Poisson Process Radial Basis Function Networks UAI 2020
Distortion estimates for approximate Bayesian inference UAI 2020
Mixed-Membership Stochastic Block Models for Weighted Networks UAI 2020
Learning Ising and Potts Models with Latent Variables AISTATS 2020
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models AISTATS 2020
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models COLT 2020
An Expectation Maximisation Algorithm for Automated Cognate Detection CONLL 2020
Multi-Speaker Text-to-Speech Synthesis Using Deep Gaussian Processes INTERSPEECH 2020
Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection ACML 2020