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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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'25

Papers (including subtopics)

Phase transitions in when feedback is useful NIPS 2022
Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck COLING 2022
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing ICML 2022
Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies NAACL 2022
Knowledge Distillation via Constrained Variational Inference AAAI 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation AAAI 2022
Fast Instrument Learning with Faster Rates NIPS 2022
Gradient Estimation with Discrete Stein Operators NIPS 2022
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models JMLR 2022
A Simple Approach to Automated Spectral Clustering NIPS 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NIPS 2022
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations JMLR 2022
Modeling sRGB Camera Noise With Normalizing Flows CVPR 2022
Riemannian Diffusion Models NIPS 2022
Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style Transfer ACL 2022
Learning interacting dynamical systems with latent Gaussian process ODEs NIPS 2022
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity ICML 2022
Modeling the Machine Learning Multiverse NIPS 2022
Toward Annotator Group Bias in Crowdsourcing ACL 2022
Learning Sparse Fixed-Structure Gaussian Bayesian Networks AISTATS 2022
Exploiting locality in high-dimensional Factorial hidden Markov models JMLR 2022
Local Bayesian optimization via maximizing probability of descent NIPS 2022
Deep Hierarchy in Bandits ICML 2022
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound ICML 2022