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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)

MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model CVPR 2023
Model-based Validation as Probabilistic Inference L4DC 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023
Estimation of Counterfactual Interventions under Uncertainties ACML 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs EMNLP 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems ICML 2023
Generalization in the Face of Adaptivity: A Bayesian Perspective NIPS 2023
Multilevel Bayesian Quadrature AISTATS 2023
Probabilistic Invariance for Gaussian Process State Space Models L4DC 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models AAAI 2023
Topological Hidden Markov Models JMLR 2023
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition AISTATS 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing NIPS 2023
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data ACL 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets NIPS 2023
Flat Seeking Bayesian Neural Networks NIPS 2023
Geometric Neural Diffusion Processes NIPS 2023
Probabilistic Exponential Integrators NIPS 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023
Joint Word and Morpheme Segmentation with Bayesian Non-Parametric Models EACL 2023
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb NIPS 2023
Bayesian target optimisation for high-precision holographic optogenetics NIPS 2023