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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)

Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion ICML 2018
Stock Movement Prediction from Tweets and Historical Prices ACL 2018
Gaussian Lower Bound for the Information Bottleneck Limit JMLR 2018
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation NIPS 2018
A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams IJCAI 2018
Scaling the Poisson GLM to massive neural datasets through polynomial approximations NIPS 2018
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data NIPS 2018
Conditional Noise-Contrastive Estimation of Unnormalised Models ICML 2018
How Deep Are Deep Gaussian Processes? JMLR 2018
Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018
Finding Optimal Bayesian Networks with Local Structure PGM 2018
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NIPS 2018
Variational Inference and Deep Generative Models ACL 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification NIPS 2018
Optimistic optimization of a Brownian NIPS 2018
VAE with a VampPrior AISTATS 2018
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition CVPR 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing ACL 2018
Algebraic tests of general Gaussian latent tree models NIPS 2018
Variational Inference based on Robust Divergences AISTATS 2018
Interactive Optimal Teaching with Unknown Learners IJCAI 2018
Exact learning augmented naive Bayes classifier PGM 2018
A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018
Importance Weighting and Variational Inference NIPS 2018
Consistent Estimation given Missing Data PGM 2018