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