Showing 1–20 of 25 results
/ Date/ Name
Feb 11, 2026Active set identification and rapid convergence for degenerate primal-dual problemsJun 17, 2021Escaping strict saddle points of the Moreau envelope in nonsmooth optimizationMar 17, 2016Compressed sensing of data with a known distributionApr 14, 2024Controlling the False Discovery Rate in Subspace SelectionNov 19, 2019The nonsmooth landscape of blind deconvolutionMay 17, 2021Optimal Convergence Rates for the Proximal Bundle MethodJun 10, 2023Any-dimensional equivariant neural networksFeb 9, 2021Infeasibility detection with primal-dual hybrid gradient for large-scale linear programmingMay 15, 2024The radius of statistical efficiencyFeb 11, 2026$μ$pscaling small models: Principled warm starts and hyperparameter transferJan 13, 2025PDLP: A Practical First-Order Method for Large-Scale Linear ProgrammingApr 24, 2023Robust, randomized preconditioning for kernel ridge regressionMar 22, 2020Efficient Clustering for Stretched Mixtures: Landscape and OptimalityOct 4, 2021Clustering a Mixture of Gaussians with Unknown CovarianceJul 9, 2022Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and OptimalityJul 11, 2025Beyond Scores: Proximal Diffusion ModelsSep 15, 2025Preconditioned subgradient method for composite optimization: overparameterization and fast convergenceMay 4, 2018Local angles and dimension estimation from data on manifoldsJan 6, 2019Composite optimization for robust blind deconvolutionMar 17, 2022Optimization of vaccination for COVID-19 in the midst of a pandemic