asynchronous optimization

Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems AAAI 2019 DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization JMLR 2019 Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models NeurIPS 2019 New Convergence Aspects of Stochastic Gradient Algorithms JMLR 2019 Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables AISTATS 2019 Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging NeurIPS 2019 A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018 A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates ICML 2018 Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization NeurIPS 2018 Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017 Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization NeurIPS 2017 Cyclades: Conflict-free Asynchronous Machine Learning NeurIPS 2016 On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System AISTATS 2016 Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NeurIPS 2015 On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NeurIPS 2015 Distributed Delayed Stochastic Optimization NeurIPS 2011