IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method | 0 | 0.34 | 2020 |
Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations | 0 | 0.34 | 2020 |
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry | 0 | 0.34 | 2020 |
Oracle complexity of second-order methods for smooth convex optimization | 4 | 0.42 | 2019 |
A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates. | 1 | 0.38 | 2018 |
Oracle Complexity of Second-Order Methods for Finite-Sum Problems. | 0 | 0.34 | 2017 |
Limitations on Variance-Reduction and Acceleration Schemes for Finite Sum Optimization. | 0 | 0.34 | 2017 |
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms. | 5 | 0.53 | 2016 |
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization. | 0 | 0.34 | 2016 |
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems. | 7 | 0.49 | 2016 |
On Lower and Upper Bounds for Smooth and Strongly Convex Optimization Problems. | 0 | 0.34 | 2015 |
Communication Complexity of Distributed Convex Learning and Optimization | 16 | 0.91 | 2015 |
On Lower and Upper Bounds in Smooth Strongly Convex Optimization - A Unified Approach via Linear Iterative Methods. | 1 | 0.45 | 2014 |