Statistical Learning

Efficient Multi-Policy Evaluation for Reinforcement Learning AAAI 2025 Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations AISTATS 2025 Empirical Evaluation of Loss Masking to Selectively Prevent Memorization ACL 2025 ERM++: An Improved Baseline for Domain Generalization WACV 2025 Error estimation and adaptive tuning for unregularized robust M-estimator JMLR 2025 Error-quantified Conformal Inference for Time Series ICLR 2025 Estimation of Local Geometric Structure on Manifolds from Noisy Data JMLR 2025 Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text COLING 2025 Exact Community Recovery under Side Information: Optimality of Spectral Algorithms ICLR 2025 Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models ACL 2025 Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective ICML 2025 Faster Low-Rank Approximation and Kernel Ridge Regression via the Block-Nyström Method COLT 2025 Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation EMNLP 2025 Fine-grained Confidence Estimation for Spurious Correctness Detection in Large Language Models IJCNLP 2025 Fractal Calibration for Long-tailed Object Detection CVPR 2025 From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts ACL 2025 From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms ICML 2025 From Words to Worth: Newborn Article Impact Prediction with LLM AAAI 2025 Frontiers to the learning of nonparametric hidden Markov models JMLR 2025 Gaussian Mean Testing under Truncation AISTATS 2025 Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power ICLR 2025 Generalization Analysis for Deep Contrastive Representation Learning AAAI 2025 Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks ICLR 2025 Generalization error bound for denoising score matching under relaxed manifold assumption COLT 2025 Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs ICLR 2025