
Distributed ZeroOrder Optimization under Adversarial Noise
We study the problem of distributed zeroorder optimization for a class ...
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Estimation of the l_2norm and testing in sparse linear regression with unknown variance
We consider the related problems of estimating the l_2norm and the squa...
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Exploiting Higher Order Smoothness in Derivativefree Optimization and Continuous Bandits
We study the problem of zeroorder optimization of a strongly convex fun...
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An alternative to synthetic control for models with many covariates under sparsity
The synthetic control method is a an econometric tool to evaluate causal...
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Improved clustering algorithms for the Bipartite Stochastic Block Model
We consider a Bipartite Stochastic Block Model (BSBM) on vertex sets V_1...
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Highdimensional instrumental variables regression and confidence sets  v2/2012
This was a revision of arXiv:1105.2454v1 from 2012. It considers a varia...
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Optimal variable selection and adaptive noisy Compressed Sensing
For highdimensional linear regression model, we propose an algorithm of...
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Does data interpolation contradict statistical optimality?
We show that learning methods interpolating the training data can achiev...
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On estimation of nonsmooth functionals of sparse normal means
We study the problem of estimation of the value N_gamma(θ) = sum(i=1)^d ...
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Minimax rate of testing in sparse linear regression
We consider the problem of testing the hypothesis that the parameter of ...
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Some effects in adaptive robust estimation under sparsity
Adaptive estimation in the sparse mean model and in sparse regression ex...
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Sparse covariance matrix estimation in highdimensional deconvolution
We study the estimation of the covariance matrix Σ of a pdimensional no...
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An {l_1,l_2,l_∞}Regularization Approach to HighDimensional Errorsinvariables Models
Several new estimation methods have been recently proposed for the linea...
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Nuclear norm penalization and optimal rates for noisy low rank matrix completion
This paper deals with the trace regression model where n entries or line...
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Alexandre B. Tsybakov
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