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- Watch Your Step: Adam's Margin Maximization Bias Depends on the Learning Rate Schedule
- Common random number simulation as the optimal coordinatewise coupling for iterated random functions
- Searching for related contributors to a DNA mixture using single cell analysis
- Graph-Based Testing of Conditional Mean Independence with Applications to Large Language Model Evaluation
- On Sequential Entropic Optimal Transport Filter and its Multilevel Variants
- Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms
- Near-Optimal √K-Regret for Online Learning in Uninformed Markov Games
- Sharp Generalization for Nonparametric Regression in Interpolation Space by Shallow Over-Parameterized Neural Networks with Channel Attention
- Surrogate Losses for Fairness-Aware Classification: Fisher Consistency and Calibration
- When Does Sparse Routing Help? The Geometry of Expert Separation in Mixture of Experts
- Principled Human-AI Collaboration in Agentic Workflows
- Abstention Spends Its Budget on Local Label Variance More Than on Novelty: Auditing Conformal Calibration and Selective Prediction under Molecular Scaffold Shift
- A Debiased Machine Learning Single-Imputation Framework for Item Nonresponse in Surveys
- Correctness and Predictive Uncertainty in Bayesian TSK Fuzzy Regression: A Reproducible Evaluation on Tabular and Building-Meter Data
- Measurement Error and Nonlinear Confounding: Structural Equation Modeling Versus Double Machine Learning
- Infinite Quantiles Inference under Local Differential Privacy
- Sentiment sensing: comparative analysis of multilingual sentiment dynamics
- Accuracy Is Not Risk: Why Medical AI Should Not Report Only Its Most Likely Label
- Likelihood-Free Schrödinger--Föllmer Sampling for Bayesian Inference with Fixed-Proposal Reuse
- Model-Based Co-Clustering for Censored Data
- Geodesics and intrinsic statistics of isolated connections in Hermitian positive-definite matrices
- A model-based adaptive sampling framework for infectious disease surveillance
- Selective inference for pruned interaction trees with known unequal variances in randomized trials
- A Kernel-Based Test for Multi-Way Conditional Independence
- Self-Normalized Inference from Riemannian Stochastic Gradient Paths