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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)

Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data AISTATS 2024
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice AAAI 2024
Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024
Testing exchangeability by pairwise betting AISTATS 2024
Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024
Functional Directed Acyclic Graphs JMLR 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024
Risk-sensitive control as inference with Rényi divergence NIPS 2024
A Metalearned Neural Circuit for Nonparametric Bayesian Inference NIPS 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NIPS 2024
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024
Energy-based Epistemic Uncertainty for Graph Neural Networks NIPS 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NIPS 2024
Bayesian Differentiable Physics for Cloth Digitalization CVPR 2024
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution EMNLP 2024
Variational Resampling AISTATS 2024
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents AAAI 2024
Spatial meshing for general Bayesian multivariate models JMLR 2024