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The CCIMI blog
| February 5, 2021

Distribution-Free, Risk-Controlling Prediction Sets

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| January 22, 2021

A precise high-dimensional asymptotic theory for Adaboost

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| November 27, 2020

Generalized Kernel Two-Sample Tests

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| November 13, 2020

Provable representation learning in deep learning

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| November 6, 2020

Minimax estimation of smooth densities in Wasserstein distance

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| October 30, 2020

Model selection for estimation of causal parameters

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| May 29, 2020

Implicit Regularization for Optimal Sparse Recovery

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| May 22, 2020

Improved Nonparametric Empirical Bayes Estimation using Transfer Learning

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| May 15, 2020

Network Representation Using Graph Root Distributions

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| May 8, 2020

Neyman-Pearson Classification

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