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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)

CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data ICML 2023
Survival Permanental Processes for Survival Analysis with Time-Varying Covariates NIPS 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models AAAI 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems ICML 2023
The probability flow ODE is provably fast NIPS 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data ACL 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts ICML 2023
GAUCHE: A Library for Gaussian Processes in Chemistry NIPS 2023
Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs EMNLP 2023
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes NIPS 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023
GFlowNet Foundations JMLR 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NIPS 2023
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023
Probabilistic Multi-Dimensional Classification UAI 2023
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model CVPR 2023
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture AISTATS 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023
Learning Robust Statistics for Simulation-based Inference under Model Misspecification NIPS 2023
A Kernelized Stein Discrepancy for Biological Sequences ICML 2023
Bayesian target optimisation for high-precision holographic optogenetics NIPS 2023
Probabilistic Exponential Integrators NIPS 2023
Credal Marginal MAP NIPS 2023
Generalization in the Face of Adaptivity: A Bayesian Perspective NIPS 2023