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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)

f-GANs in an Information Geometric Nutshell NIPS 2017
Dependency Grammar Induction with Neural Lexicalization and Big Training Data EMNLP 2017
Stochastic Recurrent Neural Network for Speech Recognition INTERSPEECH 2017
Variational Inference for Gaussian Process Models with Linear Complexity NIPS 2017
LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network SEMEVAL 2017
Multi-Information Source Optimization NIPS 2017
Faster Greedy MAP Inference for Determinantal Point Processes ICML 2017
YASS: Yet Another Spike Sorter NIPS 2017
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments CORL 2017
Linearly constrained Gaussian processes NIPS 2017
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks NIPS 2017
Learning Chordal Markov Networks via Branch and Bound NIPS 2017
A Generative Parser with a Discriminative Recognition Algorithm ACL 2017
Named Entity Recognition in the Medical Domain with Constrained CRF Models EACL 2017
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017
Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract) IJCAI 2017
Robust Asymmetric Bayesian Adaptive Matrix Factorization IJCAI 2017
Exact MAP Inference by Avoiding Fractional Vertices ICML 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NIPS 2017
Learning to select data for transfer learning with Bayesian Optimization EMNLP 2017
Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior IJCNLP 2017
Collapsed variational Bayes for Markov jump processes NIPS 2017
Tomography of the London Underground: a Scalable Model for Origin-Destination Data NIPS 2017
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks NIPS 2017
Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017