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Series acceleration

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Series acceleration

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A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

Convex Optimization using Sparsified Stochastic Gradient Descent with Memory

Sparse approximation of multilinear problems with applications to kernel-based methods in UQ

Adaptive isogeometric methods with hierarchical splines: Optimality and convergence rates

A nodal discontinuous Galerkin finite element method for the poroelastic wave equation

Performance limits of stochastic sub-gradient learning, Part II: Multi-agent case

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

Performance limits of stochastic sub-gradient learning, Part I: Single agent case

SGAN: An Alternative Training of Generative Adversarial Networks

Robust and Discriminative Speaker Embedding via Intra-Class Distance Variance Regularization