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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Learning Diffusions without Timestamps AAAI 2019
Discovering Context Effects from Raw Choice Data ICML 2019
No-Regret Learning in Unknown Games with Correlated Payoffs NIPS 2019
Gaussian Processes with Linear Operator Inequality Constraints JMLR 2019
Counting and Sampling Markov Equivalent Directed Acyclic Graphs AAAI 2019
Modelling Uncertainty in Collaborative Document Quality Assessment EMNLP 2019
Iterative Bayesian Learning for Crowdsourced Regression AISTATS 2019
Nonparametric Bayesian Aggregation for Massive Data JMLR 2019
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling JMLR 2019
Simple and Effective Noisy Channel Modeling for Neural Machine Translation IJCNLP 2019
Estimating Convergence of Markov chains with L-Lag Couplings NIPS 2019
Semi-Supervised Prosody Modeling Using Deep Gaussian Process Latent Variable Model INTERSPEECH 2019
Particle Flow Bayes’ Rule ICML 2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NIPS 2019
Probabilistic Model Checking of Robots Deployed in Extreme Environments AAAI 2019
Pyro: Deep Universal Probabilistic Programming JMLR 2019
Variational Domain Adversarial Learning for Speaker Verification INTERSPEECH 2019
Bayesian Adaptive Superpixel Segmentation ICCV 2019
Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard COLT 2019
Cross-sectional Learning of Extremal Dependence among Financial Assets NIPS 2019
Meta Learning with Relational Information for Short Sequences NIPS 2019
Incorporating Grouping Information into Bayesian Decision Tree Ensembles ICML 2019
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization ICML 2019
Tensor Variable Elimination for Plated Factor Graphs ICML 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019