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Estimation of the l_2-norm and testing in sparse linear regression with unknown variance
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Bernoulli, 2022
Estimating the minimizer and the minimum value of a regression function under passive design
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arXiv [math.ST], 2022
Benign overfitting and adaptive nonparametric regression
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arXiv [math.ST], 2022
Improved Clustering Algorithms for the Bipartite Stochastic Block Model
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IEEE Transactions on Information Theory, 2022
Adaptive robust estimation in sparse vector model
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The Annals of Statistics, 2021
Assigning Topics to Documents by Successive Projections
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Assigning Topics to Documents by Successive Projections. 2021, 2021
On estimation of nonsmooth functionals of sparse normal means
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Bernoulli, 2020
Optimal variable selection and adaptive noisy compressed sensing
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IEEE Transactions on Information Theory, 2020
Statistical Inference for Structured High-dimensional Models
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Oberwolfach Reports, 2019
Does data interpolation contradict statistical optimality?
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Proceedings of Machine Learning Research, 2019