Bayesian & Probabilistic
4,733 papers (2 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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Papers (including subtopics)
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks
AAAI 2025
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
AAAI 2025
Bayesian Optimization over Bounded Domains with the Beta Product Kernel
UAI 2025
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
UAI 2025
Bayesian Score Calibration for Approximate Models
JMLR 2025
Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions
JMLR 2025
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
JMLR 2025
Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment
EMNLP 2025
Biological Sequence Kernels with Guaranteed Flexibility
JMLR 2025
Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks
UAI 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains
EMNLP 2025
Calibrated Computation-Aware Gaussian Processes
AISTATS 2025
Calibrated Regression Against An Adversary Without Regret
UAI 2025
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
EMNLP 2025
Calibration Across Layers: Understanding Calibration Evolution in LLMs
EMNLP 2025
Case-Based Decision-Theoretic Decoding with Quality Memories
EMNLP 2025
Causal Representation Learning from General Environments under Nonparametric Mixing
AISTATS 2025
Causal Temporal Regime Structure Learning
AISTATS 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
IJCAI 2025
Circuit-Aware d-DNNF Compilation
IJCAI 2025
Clustering Zero-Shot Uncertainty Estimations to Assess LLM Response Accuracy for Yes/No Q&A
ACL 2025
CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework
CVPR 2025
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization
AAAI 2025
Collaborative likelihood-ratio estimation over graphs
JMLR 2025
Combining Climate Models using Bayesian Regression Trees and Random Paths
JMLR 2025