| Publication | Date of Publication | Type |
|---|
| The Lasso with structured design and entropy of (absolute) convex hulls | 2024-03-22 | Paper |
| Concentration behavior of the penalized least squares estimator | 2023-12-14 | Paper |
| AdaBoost and robust one-bit compressed sensing | 2022-11-28 | Paper |
| On the robustness of minimum norm interpolators and regularized empirical risk minimizers | 2022-11-02 | Paper |
| Tensor denoising with trend filtering | 2022-03-11 | Paper |
| Willem van Zwet, teacher and thesis advisor | 2021-12-03 | Paper |
| Prediction bounds for higher order total variation regularized least squares | 2021-12-03 | Paper |
| Oracle inequalities for square root analysis estimators with application to total variation penalties | 2021-10-13 | Paper |
| De-Biased Sparse PCA: Inference for Eigenstructure of Large Covariance Matrices | 2021-07-22 | Paper |
| AdaBoost and robust one-bit compressed sensing | 2021-05-05 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5149046 | 2021-02-05 | Paper |
| Logistic regression with total variation regularization | 2021-01-25 | Paper |
| On the robustness of minimum norm interpolators and regularized empirical risk minimizers | 2020-12-01 | Paper |
| Deep ReLU Programming | 2020-11-27 | Paper |
| Oracle Inequalities for Local and Global Empirical Risk Minimizers | 2020-07-07 | Paper |
| Convergence Rates for Penalized Least Squares Estimators in PDE Constrained Regression Problems | 2020-04-24 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5216382 | 2020-02-17 | Paper |
| A Framework for the Construction of Upper Bounds on the Number of Affine Linear Regions of ReLU Feed-Forward Neural Networks | 2020-01-28 | Paper |
| Adaptive Rates for Total Variation Image Denoising | 2019-11-17 | Paper |
| On the asymptotic variance of the debiased Lasso | 2019-10-04 | Paper |
| Inference in high-dimensional graphical models | 2019-07-24 | Paper |
| Sharp Oracle Inequalities for Stationary Points of Nonconvex Penalized M-Estimators | 2019-03-28 | Paper |
| Asymptotic Confidence Regions for High-Dimensional Structured Sparsity | 2019-02-12 | Paper |
| Synthesis and analysis in total variation regularization | 2019-01-18 | Paper |
| On the total variation regularized estimator over a class of tree graphs | 2019-01-18 | Paper |
| Sparse spectral estimation with missing and corrupted measurements | 2018-11-26 | Paper |
| On tight bounds for the Lasso | 2018-11-21 | Paper |
| Robust low-rank matrix estimation | 2018-10-25 | Paper |
| Semiparametric efficiency bounds for high-dimensional models | 2018-10-24 | Paper |
| Statistics for big data: a perspective | 2018-06-20 | Paper |
| Sharp Oracle Inequalities for Square Root Regularization | 2018-04-17 | Paper |
| On concentration for (regularized) empirical risk minimization | 2018-01-05 | Paper |
| Rejoinder | 2018-01-05 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5373694 | 2017-10-27 | Paper |
| Honest confidence regions and optimality in high-dimensional precision matrix estimation | 2017-08-15 | Paper |
| χ 2-Confidence Sets in High-Dimensional Regression | 2017-01-19 | Paper |
| Some exercises with the Lasso and its compatibility constant | 2017-01-12 | Paper |
| In memoriam: Evarist Giné | 2016-11-02 | Paper |
| The mathematical work of Evarist Giné | 2016-11-02 | Paper |
| Honest confidence regions and optimality in high-dimensional precision matrix estimation | 2016-09-14 | Paper |
| Censored linear model in high dimensions. Penalised linear regression on high-dimensional data with left-censored response variable | 2016-05-19 | Paper |
| Estimation and testing under sparsity. École d'Été de Probabilités de Saint-Flour XLV -- 2015 | 2016-05-04 | Paper |
| Worst possible sub-directions in high-dimensional models | 2016-04-15 | Paper |
| Quasi-likelihood and/or robust estimation in high dimensions | 2016-03-03 | Paper |
| High-dimensional inference in misspecified linear models | 2015-08-25 | Paper |
| The Lasso, correlated design, and improved oracle inequalities | 2015-07-30 | Paper |
| Penalized least squares estimation in the additive model with different smoothness for the components | 2015-06-10 | Paper |
| Confidence intervals for high-dimensional inverse covariance estimation | 2015-06-02 | Paper |
| The Partial Linear Model in High Dimensions | 2015-05-20 | Paper |
| On higher order isotropy conditions and lower bounds for sparse quadratic forms | 2015-01-27 | Paper |
| Confidence intervals for high-dimensional inverse covariance estimation | 2015-01-01 | Paper |
| New concentration inequalities for suprema of empirical processes | 2014-11-11 | Paper |
| Statistical Theory for High-Dimensional Models | 2014-09-30 | Paper |
| On asymptotically optimal confidence regions and tests for high-dimensional models | 2014-08-04 | Paper |
| Discussion: ``A significance test for the lasso | 2014-07-03 | Paper |
| On asymptotically optimal confidence regions and tests for high-dimensional models | 2014-06-01 | Paper |
| On the uniform convergence of empirical norms and inner products, with application to causal inference | 2014-05-30 | Paper |
| Censored linear model in high dimensions | 2014-05-03 | Paper |
| Weakly decomposable regularization penalties and structured sparsity | 2014-05-02 | Paper |
| Confidence sets in sparse regression | 2014-04-04 | Paper |
| Discussion of: ``Grouping strategies and thresholding for high dimension linear models | 2014-01-27 | Paper |
| Rejoinder | 2014-01-24 | Paper |
| Correlated variables in regression: clustering and sparse estimation | 2014-01-24 | Paper |
| Discussion of the paper by Piet Groeneboom: ``Nonparametric (smoothed) likelihood and integral equations | 2014-01-23 | Paper |
| The Bernstein-Orlicz norm and deviation inequalities | 2013-11-06 | Paper |
| \(\ell_{0}\)-penalized maximum likelihood for sparse directed acyclic graphs | 2013-07-24 | Paper |
| The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso) | 2013-05-28 | Paper |
| The smooth-Lasso and other \(\ell _{1}+\ell _{2}\)-penalized methods | 2013-05-28 | Paper |
| General oracle inequalities for model selection | 2013-05-27 | Paper |
| On the conditions used to prove oracle results for the Lasso | 2013-05-27 | Paper |
| Generic chaining and the \(\ell _{1}\)-penalty | 2013-05-02 | Paper |
| Generic chaining and the \(\ell _{1}\)-penalty rejoinder | 2013-05-02 | Paper |
| Estimation for High-Dimensional Linear Mixed-Effects Models Using ℓ1-Penalization | 2012-09-01 | Paper |
| Oracle inequalities and optimal inference under group sparsity | 2011-12-08 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3096699 | 2011-11-11 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3096190 | 2011-11-08 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3093329 | 2011-10-12 | Paper |
| Statistics for high-dimensional data. Methods, theory and applications. | 2011-05-02 | Paper |
| \(\ell_{1}\)-penalization for mixture regression models | 2011-01-22 | Paper |
| Rejoinder to the comments on: \(\ell _{1}\)-penalization for mixture regression models | 2011-01-22 | Paper |
| Nemirovski's Inequalities Revisited | 2010-12-01 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3655724 | 2010-01-08 | Paper |
| High-dimensional additive modeling | 2009-12-09 | Paper |
| On non-asymptotic bounds for estimation in generalized linear models with highly correlated design | 2009-08-03 | Paper |
| The Group Lasso for Logistic Regression | 2009-06-10 | Paper |
| Asymptotic theory for maximum likelihood in nonparametric mixture models | 2008-11-04 | Paper |
| High-dimensional generalized linear models and the lasso | 2008-04-23 | Paper |
| Classifiers of support vector machine type with \(\ell_1\) complexity regularization | 2007-09-05 | Paper |
| Lectures on empirical processes. Theory and statistical applications. | 2007-01-15 | Paper |
| Testing Against a High Dimensional Alternative | 2006-11-14 | Paper |
| Square root penalty: Adaption to the margin in classification and in edge estimation | 2005-10-18 | Paper |
| Adaptive estimation with soft thresholding penalties | 2004-06-15 | Paper |
| Predicting survival using disease history: a model combining relative survival and frailty | 2004-06-15 | Paper |
| Estimating multiplicative and additive hazard functions by kernel methods | 2004-05-18 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4410077 | 2004-01-03 | Paper |
| M-estimation using penalties or sieves | 2003-04-03 | Paper |
| Least squares estimation with complexity penalties | 2003-02-10 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4524756 | 2001-04-09 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4944751 | 2000-03-22 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4389417 | 1999-05-05 | Paper |
| Penalized quasi-likelihood estimation in partial linear models | 1998-11-24 | Paper |
| Locally adaptive regression splines | 1997-09-29 | Paper |
| Rates of convergence for the maximum likelihood estimator in mixture models | 1997-08-27 | Paper |
| Consistency for the least squares estimator in nonparametric regression | 1997-08-10 | Paper |
| Asymptotic normality in mixture models | 1997-04-08 | Paper |
| Exponential inequalities for martingales, with application to maximum likelihood estimation for counting processes | 1996-12-02 | Paper |
| The method of sieves and minimum contrast estimators | 1996-02-13 | Paper |
| Hellinger-consistency of certain nonparametric maximum likelihood estimators | 1993-08-23 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4039822 | 1993-06-05 | Paper |
| Probabilistic analysis of the minimum weighted flowtime scheduling problem | 1993-01-16 | Paper |
| On rates of convergence and asymptotic normality in the multiknapsack problem | 1992-06-27 | Paper |
| Estimating a regression function | 1990-01-01 | Paper |
| A new approach to least-squares estimation, with applications | 1987-01-01 | Paper |
| The likelihood ratio test for the change point problem for exponentially distributed random variables | 1987-01-01 | Paper |
