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semismooth newton

6 papers

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augmented lagrangian method (3) semismooth newton method (2) convex optimization (2) perfect recovery (1) oscar model (1) slope model (1) limited memory bfg (1) proximity operator (1) stochastic proximal quasi-newton (1) proximal quasi-newton (1)

Papers

A Single-Loop Stochastic Proximal Quasi-Newton Method for Large-Scale Nonsmooth Convex Optimization JMLR 2026 On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024 Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm JMLR 2021 Manifold Identification for Ultimately Communication-Efficient Distributed Optimization ICML 2020 Proximity Operator of the Matrix Perspective Function and its Applications NeurIPS 2020 Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019