conftrace_

Bayesian & Probabilistic

4,733 papers (2 classified directly here)

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

Probabilistic Modeling (2,617) Variational Inference (898) Gaussian Processes (666) Bayesian Learning (483) Markov Chain Monte Carlo (374) Bayesian Optimization (284) Nonparametric Bayesian (174) Bayesian Networks (149) Conditional Random Fields (39)

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Papers (including subtopics)

Differentially Private Multivariate Medians JMLR 2025 Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025 Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints AISTATS 2025 DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025 Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI AISTATS 2025 Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs EMNLP 2025 Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference ACL 2025 DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025 ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression UAI 2025 Enhance Vision-Language Alignment with Noise AAAI 2025 Enhancing NER by Harnessing Multiple Datasets with Conditional Variational Autoencoders ACL 2025 Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction AAAI 2025 Entropic Matching for Expectation Propagation of Markov Jump Processes AISTATS 2025 Epistemic Uncertainty in Conformal Scores: A Unified Approach UAI 2025 Error Detection for Multimodal Classification NAACL 2025 Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices AISTATS 2025 Evidential Uncertainty Probes for Graph Neural Networks AISTATS 2025 Expected Hypervolume Improvement Is a Particular Hypervolume Improvement AAAI 2025 Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models AAAI 2025 Exploring Exploration in Bayesian Optimization UAI 2025 Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data JMLR 2025 Exponential-Family Harmoniums with Neural Sufficient Statistics AAAI 2025 Extending Complex Logical Queries on Uncertain Knowledge Graphs ACL 2025 Extremal graphical modeling with latent variables via convex optimization JMLR 2025 Factor Analysis with Correlated Topic Model for Multi-Modal Data AISTATS 2025