non-convex optimization

Sparse Extreme Multi-label Learning with Oracle Property ICML 2019 Sparse Kernel Regression with Coefficient-based ℓ_q-regularization JMLR 2019 SpiderBoost and Momentum: Faster Variance Reduction Algorithms NeurIPS 2019 SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NeurIPS 2019 Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization COLT 2019 Stochastic Nonconvex Optimization with Large Minibatches ALT 2019 Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence ICML 2019 Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization AISTATS 2019 Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019 Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization ICML 2019 Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization AAAI 2019 The Landscape of Non-convex Empirical Risk with Degenerate Population Risk NeurIPS 2019 Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning NeurIPS 2019 Toward Controlling Discrimination in Online Ad Auctions ICML 2019 Towards closing the gap between the theory and practice of SVRG NeurIPS 2019 Towards Understanding the Importance of Shortcut Connections in Residual Networks NeurIPS 2019 Toward Understanding the Impact of Staleness in Distributed Machine Learning ICLR 2019 Toward Understanding the Importance of Noise in Training Neural Networks ICML 2019 Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization ICML 2019 Trimming the ℓ_1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning ICML 2019 Two-Player Games for Efficient Non-Convex Constrained Optimization ALT 2019 Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions ICLR 2019 Variance Reduced Policy Evaluation with Smooth Function Approximation NeurIPS 2019 Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models NeurIPS 2019 Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019