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A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization.

, , and . CoRR, (2019)

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Numerical Optimization, and . Springer Series in Operations Research and Financial Engineering Springer, New York, First edition, (1999)Numerical Optimization, and . Springer Series in Operations Research and Financial Engineering Springer, New York, 2 edition, (2006)A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization., , and . CoRR, (2019)Manifold Learning and Nonlinear Homogenization., , , and . CoRR, (2020)A proximal method for composite minimization., and . Math. Program., 158 (1-2): 501-546 (2016)Multi-output multilevel best linear unbiased estimators via semidefinite programming., , and . CoRR, (2023)An accelerated randomized Kaczmarz algorithm., and . Math. Comput., 85 (297): 153-178 (2016)Analyzing random permutations for cyclic coordinate descent., and . Math. Comput., 89 (325): 2217-2248 (2020)Sparse reconstruction by separable approximation., , and . IEEE Trans. Signal Process., 57 (7): 2479-2493 (2009)Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error., , , , and . UAI, page 156-166. AUAI Press, (2018)