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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)

Planar Prior Assisted PatchMatch Multi-View Stereo AAAI 2020
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory AISTATS 2020
Solving Multiple Inference by Minimizing Expected Loss PGM 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020
LMLFM: Longitudinal Multi-Level Factorization Machine AAAI 2020
Stochastic Convolutional Recurrent Networks for Language Modeling INTERSPEECH 2020
Non-exchangeable feature allocation models with sublinear growth of the feature sizes AISTATS 2020
Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic AAAI 2020
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold AAAI 2020
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation AAAI 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods NIPS 2020
Probabilistic Linear Solvers for Machine Learning NIPS 2020
BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020
Learning Bayesian Networks with Cops and Robbers PGM 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
Training for Gibbs Sampling on Conditional Random Fields with Neural Scoring Factors EMNLP 2020
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020
Word Embeddings as Tuples of Feature Probabilities ACL 2020
Variational Neural Machine Translation with Normalizing Flows ACL 2020
An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering ACL 2020
GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020