Showing 1–20 of 29 results
/ Date/ Name
Mar 1, 2016On the Estimation Performance and Convergence Rate of the Generalized Power Method for Phase SynchronizationNov 24, 2024When Does Primal Interior Point Method Beat Primal-dual in Linear Optimization?Jun 4, 2024A Global Geometric Analysis of Maximal Coding Rate ReductionFeb 27, 2026PDHCG-II: An Enhanced Version of PDHCG for Large-Scale Convex QPJun 10, 2021Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power MethodJul 15, 2021Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for $\ell_1$-Norm Principal Component AnalysisMay 17, 2022Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph DataJul 30, 2019Is There Any Recovery Guarantee with Coupled Structured Matrix Factorization for Hyperspectral Super-Resolution?Dec 6, 2023On the Estimation Performance of Generalized Power Method for Heteroscedastic Probabilistic PCAApr 25, 2023Differential Privacy via Distributionally Robust OptimizationJan 19, 2022Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part IApr 2, 2024An MILP-Based Solution Scheme for Factored and Robust Factored Markov Decision ProcessesSep 16, 2020A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal GroupOct 5, 2015Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search MethodsNov 21, 2024Orientation Determination of Cryo-EM Images Using Block Stochastic Riemannian Subgradient MethodsJun 6, 2025PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium ComputationOct 1, 2022A Communication-Efficient Decentralized Newton's Method with Provably Faster ConvergenceMay 24, 2023ReSync: Riemannian Subgradient-based Robust Rotation SynchronizationJan 19, 2022Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part IIOct 25, 2024A Robust Anchor-based Method for Multi-Camera Pedestrian Localization