conftrace_

linear convergence

158 papers

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Co-occurring keywords

convex optimization (1321) gradient descent (1144) stochastic optimization (1060) variance reduction (523) stochastic gradient (296) stochastic gradient descent (1091) strong convexity (59) frank-wolfe algorithm (107) coordinate descent (147) support vector machine (978)

Papers

Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees ICML 2018
Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods JMLR 2018
Robust PCA by Manifold Optimization JMLR 2018
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow ICML 2018
SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning AISTATS 2018
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018
Fast Variance Reduction Method with Stochastic Batch Size ICML 2018
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NIPS 2017
Straggler Mitigation in Distributed Optimization Through Data Encoding NIPS 2017
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition NIPS 2017
A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms JMLR 2017
Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017
A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery ICML 2017
Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms ICML 2017
Linear Convergence of Stochastic Frank Wolfe Variants AISTATS 2017
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent AISTATS 2017
Learning ReLUs via Gradient Descent NIPS 2017
Finite-sum Composition Optimization via Variance Reduced Gradient Descent AISTATS 2017
Geometric Descent Method for Convex Composite Minimization NIPS 2017
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls NIPS 2017
ASAGA: Asynchronous Parallel SAGA AISTATS 2017
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation AISTATS 2017
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient ICML 2017
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values ICML 2017