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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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Papers (including subtopics)

Learning General Latent-Variable Graphical Models with Predictive Belief Propagation AAAI 2020
Variational Neural Machine Translation with Normalizing Flows ACL 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020
Robust Data Programming with Precision-guided Labeling Functions AAAI 2020
BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020
Bayesian Online Prediction of Change Points UAI 2020
Parallel AND/OR Search for Marginal MAP AAAI 2020
ACFlow: Flow Models for Arbitrary Conditional Likelihoods ICML 2020
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020
Word Embeddings as Tuples of Feature Probabilities ACL 2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick NIPS 2020
An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering ACL 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020
Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes UAI 2020
Grounded PCFG Induction with Images AACL 2020
A New Perspective on Learning Context-Specific Independence PGM 2020
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020
Deep Generalized Convolutional Sum-Product Networks PGM 2020
Latent Geographical Factors for Analyzing the Evolution of Dialects in Contact EMNLP 2020
Empirical Priors for Prediction in Sparse High-dimensional Linear Regression JMLR 2020
Learning Bayesian Networks with Cops and Robbers PGM 2020
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields EMNLP 2020
Testing Determinantal Point Processes NIPS 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away ACL 2020