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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)

Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains ICML 2020
Neural Clustering Processes ICML 2020
Sparse Gaussian Processes with Spherical Harmonic Features ICML 2020
Generating Narrative Text in a Switching Dynamical System CONLL 2020
How Good is the Bayes Posterior in Deep Neural Networks Really? ICML 2020
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation AAAI 2020
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NIPS 2020
Lifted Query Answering in Gaussian Bayesian Networks PGM 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers IJCAI 2020
An Expectation Maximisation Algorithm for Automated Cognate Detection CONLL 2020
Variational Amodal Object Completion NIPS 2020
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NIPS 2020
Bayesian Methods for Semi-supervised Text Annotation COLING 2020
Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020
Residual Neural Processes AAAI 2020
Variational Autoencoders for Sparse and Overdispersed Discrete Data AISTATS 2020
A Novel Approach for Constrained Optimization in Graphical Models NIPS 2020
Meta-Amortized Variational Inference and Learning AAAI 2020
Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection ACML 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent NIPS 2020
Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes NIPS 2020
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation COLING 2020
GaSPing for Utility AAAI 2020