| Publication | Date of Publication | Type |
|---|
| Gradient descent on infinitely wide neural networks: global convergence and generalization | 2024-03-22 | Paper |
| Information Theory With Kernel Methods | 2024-03-18 | Paper |
| Second Order Conditions to Decompose Smooth Functions as Sums of Squares | 2024-02-27 | Paper |
| High-Dimensional Analysis of Double Descent for Linear Regression with Random Projections | 2024-02-12 | Paper |
| Variational Gaussian approximation of the Kushner optimal filter | 2024-01-16 | Paper |
| Exponential Convergence of Sum-of-Squares Hierarchies for Trigonometric Polynomials | 2023-08-23 | Paper |
| A Systematic Approach to Lyapunov Analyses of Continuous-Time Models in Convex Optimization | 2023-08-11 | Paper |
| Principled analyses and design of first-order methods with inexact proximal operators | 2023-08-01 | Paper |
| The limited-memory recursive variational Gaussian approximation (L-RVGA) | 2023-07-20 | Paper |
| Sum-of-squares relaxations for polynomial min-max problems over simple sets | 2023-06-26 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5047194 | 2022-11-16 | Paper |
| Screening for a reweighted penalized conditional gradient method | 2022-08-20 | Paper |
| A note on approximate accelerated forward-backward methods with absolute and relative errors, and possibly strongly convex objectives | 2022-08-20 | Paper |
| A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning | 2022-05-24 | Paper |
| The recursive variational Gaussian approximation (R-VGA) | 2022-01-14 | Paper |
| On the Effectiveness of Richardson Extrapolation in Data Science | 2021-12-27 | Paper |
| An Optimal Algorithm for Decentralized Finite-Sum Optimization | 2021-11-05 | Paper |
| Infinite-Dimensional Sums-of-Squares for Optimal Control | 2021-10-14 | Paper |
| Stochastic quasi-gradient methods: variance reduction via Jacobian sketching | 2021-07-02 | Paper |
| Finite-sample analysis of \(M\)-estimators using self-concordance | 2021-01-19 | Paper |
| Bridging the gap between constant step size stochastic gradient descent and Markov chains | 2020-08-28 | Paper |
| An Optimal Algorithm for Decentralized Finite Sum Optimization | 2020-05-20 | Paper |
| Optimal Algorithms for Non-Smooth Distributed Optimization in Networks | 2020-02-07 | Paper |
| Regularized nonlinear acceleration | 2020-01-17 | Paper |
| Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements | 2019-10-28 | Paper |
| Statistical Estimation of the Poincar{\'e} constant and Application to Sampling Multimodal Distributions | 2019-10-28 | Paper |
| Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance | 2019-09-25 | Paper |
| Submodular functions: from discrete to continuous domains | 2019-05-17 | Paper |
| Sample Complexity of Sinkhorn divergences | 2018-10-05 | Paper |
| Learning the Structure for Structured Sparsity | 2018-08-22 | Paper |
| Slice inverse regression with score functions | 2018-05-28 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4636989 | 2018-04-17 | Paper |
| Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression | 2018-04-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4637051 | 2018-04-17 | Paper |
| Active-set Methods for Submodular Minimization Problems | 2018-04-17 | Paper |
| Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes | 2018-03-06 | Paper |
| Structure-Adaptive, Variance-Reduced, and Accelerated Stochastic Optimization | 2017-12-08 | Paper |
| Convex optimization over intersection of simple sets: improved convergence rate guarantees via an exact penalty approach | 2017-10-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5363752 | 2017-09-29 | Paper |
| Breaking the Curse of Dimensionality with Convex Neural Networks | 2017-09-27 | Paper |
| On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions | 2017-09-27 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5361322 | 2017-09-27 | Paper |
| Learning Graphical Models for Stationary Time Series | 2017-09-08 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5269978 | 2017-06-28 | Paper |
| Nonlinear Acceleration of Stochastic Algorithms | 2017-06-22 | Paper |
| Sparse and Spurious: Dictionary Learning With Noise and Outliers | 2017-04-28 | Paper |
| Sample Complexity of Dictionary Learning and Other Matrix Factorizations | 2017-04-28 | Paper |
| Minimizing finite sums with the stochastic average gradient | 2017-03-23 | Paper |
| Erratum to: ``Minimizing finite sums with the stochastic average gradient | 2017-03-23 | Paper |
| Integration Methods and Accelerated Optimization Algorithms | 2017-02-22 | Paper |
| Duality Between Subgradient and Conditional Gradient Methods | 2017-01-13 | Paper |
| Nonparametric stochastic approximation with large step-sizes | 2016-09-07 | Paper |
| Sparse Modeling for Image and Vision Processing | 2016-04-11 | Paper |
| Structured sparsity through convex optimization | 2016-03-03 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3464598 | 2016-01-27 | Paper |
| Convex Relaxations for Permutation Problems | 2015-12-09 | Paper |
| Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression | 2014-12-08 | Paper |
| Low-Rank Optimization with Trace Norm Penalty | 2014-04-09 | Paper |
| Multi-task Regression using Minimal Penalties | 2014-04-01 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5396679 | 2014-02-03 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5396698 | 2014-02-03 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5396702 | 2014-02-03 | Paper |
| Learning with Submodular Functions: A Convex Optimization Perspective | 2014-02-03 | Paper |
| Self-concordant analysis for logistic regression | 2013-05-27 | Paper |
| Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity | 2013-01-25 | Paper |
| Optimization with Sparsity-Inducing Penalties | 2012-08-08 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2896018 | 2012-07-13 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2880898 | 2012-04-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3096144 | 2011-11-08 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3096148 | 2011-11-08 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3096204 | 2011-11-08 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3093182 | 2011-10-12 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3174019 | 2011-10-12 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3174030 | 2011-10-12 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3174083 | 2011-10-12 | Paper |
| Optimization with Sparsity-Inducing Penalties | 2011-08-03 | Paper |
| Low-Rank Optimization on the Cone of Positive Semidefinite Matrices | 2011-03-21 | Paper |
| Kernel dimension reduction in regression | 2009-07-22 | Paper |
| 10.1162/jmlr.2003.4.7-8.1205 | 2005-04-15 | Paper |
| 10.1162/153244303768966085 | 2004-08-10 | Paper |
