The CCIMI blog

Optimal rates for independence testing via U-statistic permutation tests

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Distribution-Free, Risk-Controlling Prediction Sets

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A precise high-dimensional asymptotic theory for Adaboost

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Generalized Kernel Two-Sample Tests

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Provable representation learning in deep learning

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Minimax estimation of smooth densities in Wasserstein distance

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Model selection for estimation of causal parameters

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Implicit Regularization for Optimal Sparse Recovery

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Improved Nonparametric Empirical Bayes Estimation using Transfer Learning

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Network Representation Using Graph Root Distributions

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