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Erratum to: Minimizing finite sums with the stochastic average gradient.

, , and . Math. Program., 162 (1-2): 113 (2017)

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Causal learning without DAGs., , , and . NIPS Causality: Objectives and Assessment, volume 6 of JMLR Proceedings, page 177-190. JMLR.org, (2010)Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials., and . AISTATS, volume 9 of JMLR Proceedings, page 709-716. JMLR.org, (2010)Minimizing finite sums with the stochastic average gradient., , and . Math. Program., 162 (1-2): 83-112 (2017)Accelerated training of conditional random fields with stochastic gradient methods., , , and . ICML, volume 148 of ACM International Conference Proceeding Series, page 969-976. ACM, (2006)A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method, , and . CoRR, (2012)Group Sparse Priors for Covariance Estimation, , and . CoRR, (2012)Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph., , , , , and . CoRR, (2016)Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches., , and . ECML, volume 4701 of Lecture Notes in Computer Science, page 286-297. Springer, (2007)Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm., , , and . AISTATS, volume 5 of JMLR Proceedings, page 456-463. JMLR.org, (2009)Hybrid Deterministic-Stochastic Methods for Data Fitting, and . CoRR, (2011)