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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)

Retrospective Uncertainties for Deep Models using Vine Copulas AISTATS 2023
Nearest Neighbor Dirichlet Mixtures JMLR 2023
Collapsed Inference for Bayesian Deep Learning NIPS 2023
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies NIPS 2023
Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model CVPR 2023
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo ACL 2023
Human spatiotemporal pattern learning as probabilistic program synthesis NIPS 2023
The probability flow ODE is provably fast NIPS 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NIPS 2023
Probabilistic Volumetric Fusion for Dense Monocular SLAM WACV 2023
Probabilistic Knowledge Distillation of Face Ensembles CVPR 2023
Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NIPS 2023
Practical Equivariances via Relational Conditional Neural Processes NIPS 2023
MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract) IJCAI 2023
Bayesian Posterior Approximation With Stochastic Ensembles CVPR 2023
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching JMLR 2023
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023
Prediction-Oriented Bayesian Active Learning AISTATS 2023
Flat Seeking Bayesian Neural Networks NIPS 2023
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023
Persuading Farsighted Receivers in MDPs: the Power of Honesty NIPS 2023
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic ACL 2023
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation CVPR 2023