| Publication | Date of Publication | Type |
|---|
| Optimal Oracle Inequalities for Projected Fixed-Point Equations, with Applications to Policy Evaluation | 2024-03-01 | Paper |
| Optimally tackling covariate shift in RKHS-based nonparametric regression | 2023-07-19 | Paper |
| Minimax Off-Policy Evaluation for Multi-Armed Bandits | 2022-08-19 | Paper |
| Improved bounds for discretization of Langevin diffusions: near-optimal rates without convexity | 2022-05-16 | Paper |
| Optimal and instance-dependent guarantees for Markovian linear stochastic approximation | 2021-12-23 | Paper |
| Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis | 2021-11-03 | Paper |
| A Permutation-Based Model for Crowd Labeling: Optimal Estimation and Robustness | 2021-07-23 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4998932 | 2021-07-09 | Paper |
| Singularity, misspecification and the convergence rate of EM | 2021-02-26 | Paper |
| Towards optimal estimation of bivariate isotonic matrices with unknown permutations | 2021-02-26 | Paper |
| Instance-Dependent ℓ∞-Bounds for Policy Evaluation in Tabular Reinforcement Learning | 2021-02-22 | Paper |
| Function-specific mixing times and concentration away from equilibrium | 2021-02-09 | Paper |
| Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems | 2020-10-05 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4969156 | 2020-10-05 | Paper |
| The Local Geometry of Testing in Ellipses: Tight Control via Localized Kolmogorov Widths | 2020-09-29 | Paper |
| From Gauss to Kolmogorov: localized measures of complexity for ellipses | 2020-09-14 | Paper |
| Worst-case versus average-case design for estimation from partial pairwise comparisons | 2020-08-28 | Paper |
| Optimal Rates and Tradeoffs in Multiple Testing | 2020-05-14 | Paper |
| Low Permutation-rank Matrices: Structural Properties and Noisy Completion | 2020-02-07 | Paper |
| Convergence guarantees for a class of non-convex and non-smooth optimization problems | 2020-02-07 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5214293 | 2020-02-07 | Paper |
| Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities | 2020-01-28 | Paper |
| Active ranking from pairwise comparisons and when parametric assumptions do not help | 2020-01-15 | Paper |
| Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing | 2019-12-11 | Paper |
| A unified treatment of multiple testing with prior knowledge using the p-filter | 2019-10-09 | Paper |
| A Diffusion Process Perspective on Posterior Contraction Rates for Parameters | 2019-09-03 | Paper |
| High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm | 2019-08-28 | Paper |
| Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons | 2019-07-19 | Paper |
| Network Coding for Distributed Storage Systems | 2019-07-08 | Paper |
| A sequential algorithm for false discovery rate control on directed acyclic graphs | 2019-05-08 | Paper |
| The geometry of hypothesis testing over convex cones: generalized likelihood ratio tests and minimax radii | 2019-03-06 | Paper |
| High-Dimensional Statistics | 2019-02-13 | Paper |
| Simple, Robust and Optimal Ranking from Pairwise Comparisons | 2018-11-22 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4558208 | 2018-11-21 | Paper |
| Minimax Optimal Procedures for Locally Private Estimation | 2018-10-23 | Paper |
| Rejoinder | 2018-10-23 | Paper |
| Linear Regression With Shuffled Data: Statistical and Computational Limits of Permutation Recovery | 2018-09-14 | Paper |
| On kernel methods for covariates that are rankings | 2018-08-14 | Paper |
| Network-Based Consensus Averaging With General Noisy Channels | 2018-07-18 | Paper |
| Geographic Gossip: Efficient Averaging for Sensor Networks | 2018-06-27 | Paper |
| Convergence Analysis of Reweighted Sum-Product Algorithms | 2018-06-27 | Paper |
| Statistical and Computational Guarantees for the Baum-Welch Algorithm | 2018-04-17 | Paper |
| Support recovery without incoherence: a case for nonconvex regularization | 2018-02-14 | Paper |
| Rejoinder | 2018-01-05 | Paper |
| On concentration for (regularized) empirical risk minimization | 2018-01-05 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4589006 | 2017-11-06 | Paper |
| Log-determinant relaxation for approximate inference in discrete Markov random fields | 2017-10-30 | Paper |
| Nonparametric decentralized detection using kernel methods | 2017-09-20 | Paper |
| Embedded Trees: Estimation of Gaussian Processes on Graphs with Cycles | 2017-09-20 | Paper |
| Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling | 2017-09-08 | Paper |
| Information-Theoretic Limits on Sparsity Recovery in the High-Dimensional and Noisy Setting | 2017-08-08 | Paper |
| Low-Density Graph Codes That Are Optimal for Binning and Coding With Side Information | 2017-08-08 | Paper |
| Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso) | 2017-08-08 | Paper |
| Guessing Facets: Polytope Structure and Improved LP Decoder | 2017-08-08 | Paper |
| Randomized sketches for kernels: fast and optimal nonparametric regression | 2017-08-03 | Paper |
| Lossy Source Compression Using Low-Density Generator Matrix Codes: Analysis and Algorithms | 2017-07-27 | Paper |
| Analysis of Absorbing Sets and Fully Absorbing Sets of Array-Based LDPC Codes | 2017-07-27 | Paper |
| Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization | 2017-07-27 | Paper |
| Information-Theoretic Limits on Sparse Signal Recovery: Dense versus Sparse Measurement Matrices | 2017-07-27 | Paper |
| Information-Theoretic Limits of Selecting Binary Graphical Models in High Dimensions | 2017-07-12 | Paper |
| Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization | 2017-07-12 | Paper |
| Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls | 2017-07-12 | Paper |
| Simultaneous Support Recovery in High Dimensions: Benefits and Perils of Block $\ell _{1}/\ell _{\infty} $-Regularization | 2017-07-12 | Paper |
| Stochastic Belief Propagation: A Low-Complexity Alternative to the Sum-Product Algorithm | 2017-06-08 | Paper |
| Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues | 2017-06-08 | Paper |
| Statistical guarantees for the EM algorithm: from population to sample-based analysis | 2017-05-02 | Paper |
| Randomized Sketches of Convex Programs With Sharp Guarantees | 2017-04-28 | Paper |
| Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations | 2017-04-28 | Paper |
| Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators | 2017-04-07 | Paper |
| Newton Sketch: A Near Linear-Time Optimization Algorithm with Linear-Quadratic Convergence | 2017-03-01 | Paper |
| On the computational complexity of high-dimensional Bayesian variable selection | 2017-02-13 | Paper |
| A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees | 2017-01-05 | Paper |
| Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares | 2016-06-06 | Paper |
| Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence | 2016-06-06 | Paper |
| A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers | 2016-03-03 | Paper |
| Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates | 2016-02-19 | Paper |
| Graphical Models and Message-Passing Algorithms: Some Introductory Lectures | 2016-01-19 | Paper |
| Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima | 2015-08-17 | Paper |
| Privacy Aware Learning | 2015-08-14 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5251797 | 2015-05-21 | Paper |
| The geometry of kernelized spectral clustering | 2015-05-11 | Paper |
| Probabilistic Analysis of Linear Programming Decoding | 2014-12-18 | Paper |
| Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees | 2014-12-08 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2933949 | 2014-12-08 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2933989 | 2014-12-08 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2921781 | 2014-10-13 | Paper |
| Fast global convergence of gradient methods for high-dimensional statistical recovery | 2014-09-15 | Paper |
| Sampled forms of functional PCA in reproducing kernel Hilbert spaces | 2014-09-15 | Paper |
| Structure estimation for discrete graphical models: generalized covariance matrices and their inverses | 2014-04-04 | Paper |
| Minimax-optimal rates for sparse additive models over kernel classes via convex programming | 2014-04-01 | Paper |
| Restricted strong convexity and weighted matrix completion: Optimal bounds with noise | 2014-04-01 | Paper |
| High-dimensional covariance estimation by minimizing \(\ell _{1}\)-penalized log-determinant divergence | 2013-05-28 | Paper |
| Discussion: Latent variable graphical model selection via convex optimization | 2013-03-07 | Paper |
| High-dimensional regression with noisy and missing data: provable guarantees with nonconvexity | 2012-12-10 | Paper |
| Randomized Smoothing for Stochastic Optimization | 2012-09-12 | Paper |
| Noisy matrix decomposition via convex relaxation: optimal rates in high dimensions | 2012-08-29 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2896065 | 2012-07-13 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2896143 | 2012-07-13 | Paper |
| High-dimensional subset recovery in noise: Sparsified measurements without loss of statistical efficiency | 2012-07-13 | Paper |
| Approximation properties of certain operator-induced norms on Hilbert spaces | 2012-03-22 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3174022 | 2011-10-12 | Paper |
| Estimation of (near) low-rank matrices with noise and high-dimensional scaling | 2011-06-29 | Paper |
| Support union recovery in high-dimensional multivariate regression | 2011-04-05 | Paper |
| Graphical Models, Exponential Families, and Variational Inference | 2010-08-14 | Paper |
| High-dimensional Ising model selection using \(\ell _{1}\)-regularized logistic regression | 2010-05-26 | Paper |
| High-dimensional analysis of semidefinite relaxations for sparse principal components | 2009-08-19 | Paper |
| On surrogate loss functions and \(f\)-divergences | 2009-06-04 | Paper |
| Probabilistic Analysis of Linear Programming Decoding | 2009-02-24 | Paper |
| On Optimal Quantization Rules for Some Problems in Sequential Decentralized Detection | 2009-02-24 | Paper |
| A new look at survey propagation and its generalizations | 2008-12-21 | Paper |
| Image denoising using scale mixtures of gaussians in the wavelet domain | 2008-12-21 | Paper |
| Using Linear Programming to Decode Binary Linear Codes | 2008-12-21 | Paper |
| A New Class of Upper Bounds on the Log Partition Function | 2008-12-21 | Paper |
| MAP Estimation Via Agreement on Trees: Message-Passing and Linear Programming | 2008-12-21 | Paper |
| LP Decoding Corrects a Constant Fraction of Errors | 2008-12-21 | Paper |
| High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression | 2008-04-25 | Paper |
| Data association based on optimization in graphical models with application to sensor networks | 2008-02-26 | Paper |
| Tree-based reparameterization framework for analysis of sum-product and related algorithms | 2005-06-01 | Paper |
| Random cascades on wavelet trees and their use in analyzing and modeling natural images | 2001-10-14 | Paper |
