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)

Papers per year

1

4

14

4

10

85

88

79

95

142

123

184

213

208

164

201

204

276

303

411

345

414

327

418

308

112

'5

'10

'15

'20

'25

Papers (including subtopics)

Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 LINGO-Space: Language-Conditioned Incremental Grounding for Space AAAI 2024 Linguistic Obfuscation Attacks and Large Language Model Uncertainty EACL 2024 Localized Zeroth-Order Prompt Optimization NeurIPS 2024 Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NeurIPS 2024 Logistic Regression Under Network Dependence JMLR 2024 Looping in the Human: Collaborative and Explainable Bayesian Optimization AISTATS 2024 Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024 Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024 MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024 Maximum Entropy Heterogeneous-Agent Reinforcement Learning ICLR 2024 Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems JMLR 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024 MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration EMNLP 2024 Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes ICLR 2024 Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024 Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024 Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024 Mixed variational flows for discrete variables AISTATS 2024 MMD-based Variable Importance for Distributional Random Forest AISTATS 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 Model Fusion through Bayesian Optimization in Language Model Fine-Tuning NeurIPS 2024 Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NeurIPS 2024 Modelling Variability in Human Annotator Simulation ACL 2024 More Labels or Cases? Assessing Label Variation in Natural Language Inference EACL 2024