linear convergence

Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values ICML 2017 Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017 A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights JMLR 2016 A Linearly-Convergent Stochastic L-BFGS Algorithm AISTATS 2016 A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing NeurIPS 2016 Asynchronous Parallel Greedy Coordinate Descent NeurIPS 2016 Barzilai-Borwein Step Size for Stochastic Gradient Descent NeurIPS 2016 DSA: Decentralized Double Stochastic Averaging Gradient Algorithm JMLR 2016 Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis ICML 2016 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption JMLR 2016 Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes NeurIPS 2016 NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization NeurIPS 2016 Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods ICML 2016 SDCA without Duality, Regularization, and Individual Convexity ICML 2016 Stochastic Variance Reduction Methods for Saddle-Point Problems NeurIPS 2016 A General Analysis of the Convergence of ADMM ICML 2015 An Asynchronous Parallel Stochastic Coordinate Descent Algorithm JMLR 2015 Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM ICML 2015 On the Global Linear Convergence of Frank-Wolfe Optimization Variants NeurIPS 2015 PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent ICML 2015 Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions ICML 2015 Smooth and Strong: MAP Inference with Linear Convergence NeurIPS 2015 A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NeurIPS 2014 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014