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stat.ML

10 posts

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cond-mat.stat-mechcs.LGmath.DS2d

From geometry to dynamics: Learning overdamped Langevin dynamics from sparse observations with geometric constraints

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cs.LGpaperq-fin.GN2d

The Nonstationarity-Complexity Tradeoff in Return Prediction

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cs.AIcs.LGmath.ST2d

Le Cam Distortion: A Decision-Theoretic Framework for Robust Transfer Learning

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cs.LGmath.NAmath.ST2d

Simultaneous Approximation of the Score Function and Its Derivatives by Deep Neural Networks

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cs.LGpaperresearch2d

Random Controlled Differential Equations

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cs.LGmath.OCpaper2d

Calibrated Multi-Level Quantile Forecasting

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cs.LGecon.EMpaper2d

Bellman Calibration for V-Learning in Offline Reinforcement Learning

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cs.LGmath.STpaper16h

Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach

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cs.LGmath.NAmath.OC14h

Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis

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cs.LGmath.NApaper13h

Convergence of the generalization error for deep gradient flow methods for PDEs

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