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Statistical Learning

4076 directly classified papers

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Papers

Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation JMLR 2025
CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition ACL 2025
ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty ACL 2025
Quantifying Semantic Emergence in Language Models ACL 2025
Assumption-lean and data-adaptive post-prediction inference JMLR 2025
Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025
Generalized multi-view model: Adaptive density estimation under low-rank constraints JMLR 2025
Unpacking Ambiguity: The Interaction of Polysemous Discourse Markers and Non-DM Signals EMNLP 2025
Fractal Calibration for Long-tailed Object Detection CVPR 2025
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation CVPR 2025
From Words to Worth: Newborn Article Impact Prediction with LLM AAAI 2025
Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval AAAI 2025
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction ACL 2025
ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities ACL 2025
Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization JMLR 2025
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty JMLR 2025
DRM Revisited: A Complete Error Analysis JMLR 2025
Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025
Optimal subsampling for high-dimensional partially linear models via machine learning methods JMLR 2025
Minimax Optimal Two-Sample Testing under Local Differential Privacy JMLR 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025
Towards Robust Comparisons of NLP Models: A Case Study COLING 2025