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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)

Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows ICML 2020
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting ICML 2020
Scalable Belief Propagation via Relaxed Scheduling NIPS 2020
Multi-Speaker Text-to-Speech Synthesis Using Deep Gaussian Processes INTERSPEECH 2020
Self-Modulating Nonparametric Event-Tensor Factorization ICML 2020
Online Bayesian Persuasion NIPS 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates ICML 2020
The Boomerang Sampler ICML 2020
Deep active inference agents using Monte-Carlo methods NIPS 2020
Semi-supervised Parsing with a Variational Autoencoding Parser ACL 2020
Learning to Learn Variational Semantic Memory NIPS 2020
BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020
Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020
An Expectation Maximisation Algorithm for Automated Cognate Detection EMNLP 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes ICML 2020
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing ICML 2020
Bayesian Online Prediction of Change Points UAI 2020
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis IJCAI 2020
Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations ICML 2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NIPS 2020
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles IJCAI 2020
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020
Generalised Bayesian Filtering via Sequential Monte Carlo NIPS 2020
Ensembling geophysical models with Bayesian Neural Networks NIPS 2020