Cross-Fitted Clipped Covariance Estimation with a Data-Driven Tail-Energy Criterion
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Co-optimization for Adaptive Conformal Prediction
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FlowTouch: View-Invariant Visuo-Tactile Prediction
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A Controlled Comparison of Deep Learning Architectures for Multi-Horizon Financial Forecasting: Evidence from 918 Experiments
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Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
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Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
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Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification
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Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings
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Accelerating Min-Max Optimization via Power-Law Stepsizes
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No-Harm Physics-Informed Inverse Learning with Residual-Calibrated Uncertainty
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How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Uncoupled Quantum Subcircuits
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Minimax Alternating Regret for the Experts Problem and Online Convex Optimization
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