Statistical Learning

Statistical inference on black-box generative models in the data kernel perspective space ACL 2025 Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025 Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval AAAI 2025 Statistical Significance of Feature Importance Rankings UAI 2025 Stories that (are) Move(d by) Markets: A Causal Exploration of Market Shocks and Semantic Shifts across Different Partisan Groups ACL 2025 Substitute Adjustment via Recovery of Latent Variables JMLR 2025 Targeted Learning for Variable Importance UAI 2025 Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET) AISTATS 2025 The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs ACL 2025 The Foundations of Tokenization: Statistical and Computational Concerns ICLR 2025 The Linguistic Connectivities Within Large Language Models ACL 2025 The Local Learning Coefficient: A Singularity-Aware Complexity Measure AISTATS 2025 Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings AISTATS 2025 The Pitfalls of Memorization: When Memorization Hurts Generalization ICLR 2025 Tight Bounds for Noisy Computation of High-Influence Functions, Connectivity, and Threshold COLT 2025 TorchCP: A Python Library for Conformal Prediction JMLR 2025 Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective ICLR 2025 Towards Improved Risk Bounds for Transductive Learning IJCAI 2025 Towards Robust Comparisons of NLP Models: A Case Study COLING 2025 Towards Statistical Factuality Guarantee for Large Vision-Language Models EMNLP 2025 Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025 Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples IJCAI 2025 Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift AAAI 2025 Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective JMLR 2025 Uncertainty in Causality: A New Frontier ACL 2025