The CCIMI blog

Nonparametric Bayesian intensity estimation for covariate-driven point processes

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Towards multi-purpose locally differentially-private synthetic data release via plug-in estimation

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Minimax rate for multivariate data under componentwise local differential privacy constraints

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Rainfall, volatility and roughness

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The manifold hypothesis in science & AI

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Detecting Changes in Production Frontier and Beyond

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Complexity of sampling truncated log-concave measures, and the role of stochastic localization

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In-sample calibration yields conformal calibration guarantees

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Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies.

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Extrapolation-aware statistical machine learning

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