conftrace_

Bayesian & Probabilistic

5,407 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Probabilistic Modeling (3,137) Bayesian Learning (1,734) Bayesian Inference (1,087) Variational Inference (275) Bayesian Networks (103) Gaussian Processes (88)

Papers per year

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273

389

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2000

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Papers (including subtopics)

Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NeurIPS 2024 Scaling Tractable Probabilistic Circuits: A Systems Perspective ICML 2024 ScoreHypo: Probabilistic Human Mesh Estimation with Hypothesis Scoring CVPR 2024 Score Operator Newton transport AISTATS 2024 Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Sequential Deconfounding for Causal Inference with Unobserved Confounders CLeaR 2024 Serving MPE Queries on Tensor Networks by Computing Derivatives PGM 2024 Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NeurIPS 2024 Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice AAAI 2024 SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning ICML 2024 Simulation-Based Stacking AISTATS 2024 Small coresets via negative dependence: DPPs, linear statistics, and concentration NeurIPS 2024 SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents AAAI 2024 Solving High Frequency and Multi-Scale PDEs with Gaussian Processes ICLR 2024 Source-Free Domain-Invariant Performance Prediction ECCV 2024 Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation NeurIPS 2024 Sparse Bayesian Generative Modeling for Compressive Sensing NeurIPS 2024 Sparse Graphical Linear Dynamical Systems JMLR 2024 Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces JMLR 2024 Spatial meshing for general Bayesian multivariate models JMLR 2024 Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NeurIPS 2024 SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models EACL 2024 Stable Implementation of Probabilistic ODE Solvers JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024