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Robust OT-Guided Generative Residual Domain Adaptation for Bike-Sharing Demand Prediction under Temporal Domain Shift Any-Dimensional Invariant Universality Instance-Optimal Estimation with Multiple LLM Judges on a Budget Optimal Dimension-Free Sampling for Regularized Classification Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries Training-Free Looped Transformers Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation Uncertainty-aware classification and triage of structural heart disease using electrocardiography and echocardiography metrics Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos Symbolic Density Estimation for Discrete Distributions Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation The ASE-LSE Disagreement Landscape: An End-to-End Characterisation of Extremes and Structural Drivers When Is Next-Token Prediction Useful? 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Complete version Rare Event Analysis via Stochastic Optimal Control Estimating Continuous Treatment Effects with Two-Stage Kernel Ridge Regression Generative Augmented Inference Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer Feature Learning Dynamics in Infinite-Depth Neural Networks Branching Flows: Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions Program Evaluation with Remotely Sensed Outcomes A Tale of Two Cities: Pessimism and Opportunism in Offline Dynamic Pricing Dataset-Driven Channel Masks in Transformers for Multivariate Time Series Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees

Functional Extreme-PLS

[Submitted on 7 Oct 2024 (v1), last revised 15 Jun 2026 (this ve · 2026-06-16 · via stat updates on arXiv.org

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