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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)

Predictive Approximate Bayesian Computation via Saddle Points NIPS 2018
Random Feature Stein Discrepancies NIPS 2018
Bayesian Trees for Automated Cytometry Data Analysis MLHC 2018
Bayesian Inference of Temporal Task Specifications from Demonstrations NIPS 2018
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation NIPS 2018
Uncertainty-aware generative models for inferring document class prevalence EMNLP 2018
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model EMNLP 2018
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments NIPS 2018
Possibilistic ASP Base Revision by Certain Input IJCAI 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT 2018
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence NIPS 2018
Pattern-Based Behavioural Analysis on Neurosurgical Simulation Data MLHC 2018
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra NIPS 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes ICML 2018
Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018
Dirichlet belief networks for topic structure learning NIPS 2018
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks NIPS 2018
Learning Invariances using the Marginal Likelihood NIPS 2018
A Symbolic Approach to Explaining Bayesian Network Classifiers IJCAI 2018
Robust and Scalable Models of Microbiome Dynamics ICML 2018
Proximal Graphical Event Models NIPS 2018
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms ICML 2018
Semi-Supervised Prediction-Constrained Topic Models AISTATS 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
HOGWILD!-Gibbs can be PanAccurate NIPS 2018