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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127

113

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273

389

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273

2000

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Papers (including subtopics)

Toward Informed AV Decision-Making: Computational Model of Well-being and Trust in Mobility IJCAI 2025 Towards a Bayesian hierarchical model of lexical processing NAACL 2025 Towards Fair Graph Learning without Demographic Information AISTATS 2025 Towards Uncertainty Unification: A Case Study for Preference Learning RSS 2025 Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation CVPR 2025 Toward Universal Laws of Outlier Propagation UAI 2025 TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation ICML 2025 TRADE: Transfer of Distributions between External Conditions with Normalizing Flows AISTATS 2025 Truthful Elicitation of Imprecise Forecasts UAI 2025 TSTAI: A Time-varying Brain Effective Connectivity Network Construction Method Combining with Brain Active Information IJCAI 2025 Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG UAI 2025 Uncertain (Mis)Takes at LeWiDi-2025: Modeling Human Label Variation With Semantic Entropy EMNLP 2025 Uncertainty-driven Partial Diacritization for Arabic Text EMNLP 2025 Uncertainty-guided Graph Contrastive Learning from a Unified Perspective IJCAI 2025 Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations ICLR 2025 Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes COLING 2025 Uncertainty Quantification for LLM-Based Survey Simulations ICML 2025 Unconditionally Calibrated Priors for Beta Mixture Density Networks AISTATS 2025 Unified Variational and Physics-aware Model for Room Impulse Response Estimation Interspeech 2025 Unlocking Point Processes through Point Set Diffusion ICLR 2025 Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery WACV 2025 Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix AISTATS 2025 Variational Inference on the Boolean Hypercube with the Quantum Entropy AISTATS 2025 Variational Learning of Fractional Posteriors ICML 2025 Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling UAI 2025