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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)

Deep Generalized Convolutional Sum-Product Networks PGM 2020
Empirical Priors for Prediction in Sparse High-dimensional Linear Regression JMLR 2020
Deep Sigma Point Processes UAI 2020
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020
Bayesian Learning with Adaptive Load Allocation Strategies L4DC 2020
Testing Determinantal Point Processes NIPS 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NIPS 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away ACL 2020
Sample Complexity of Kalman Filtering for Unknown Systems L4DC 2020
Learning VAE-LDA Models with Rounded Reparameterization Trick EMNLP 2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NIPS 2020
BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks PGM 2020
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks UAI 2020
Imputing typological values via phylogenetic inference EMNLP 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NIPS 2020
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation L4DC 2020
On Relativistic f-Divergences ICML 2020
Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic Ising Models JMLR 2020
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders UAI 2020
Prior-aware Composition Inference for Spectral Topic Models AISTATS 2020
Latent Geographical Factors for Analyzing the Evolution of Dialects in Contact EMNLP 2020
Stein Self-Repulsive Dynamics: Benefits From Past Samples NIPS 2020
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs JMLR 2020