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Statistical Learning

4076 directly classified papers

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Papers

Convergence and Divergence of Language Models under Different Random Seeds EMNLP 2025
Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions EMNLP 2025
Don’t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation EMNLP 2025
TorchCP: A Python Library for Conformal Prediction JMLR 2025
Bayesian Score Calibration for Approximate Models JMLR 2025
A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025
Collaborative likelihood-ratio estimation over graphs JMLR 2025
Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025
Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization JMLR 2025
Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test JMLR 2025
Statistical field theory for Markov decision processes under uncertainty JMLR 2025
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings ACL 2025
No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification Tasks NAACL 2025
Instability, Computational Efficiency and Statistical Accuracy JMLR 2025
Statistical Confidence Rescoring for Robust 3D Scene Graph Generation from Multi-View Images ICCV 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025
Unpacking Ambiguity: The Interaction of Polysemous Discourse Markers and Non-DM Signals EMNLP 2025
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning IJCAI 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025
Cross-Validated Off-Policy Evaluation AAAI 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025
Fine-grained Confidence Estimation for Spurious Correctness Detection in Large Language Models IJCNLP 2025
Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation IJCNLP 2025
Probability Density Geodesics in Image Diffusion Latent Space CVPR 2025
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025