conftrace_

convergence rate

607 papers

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Co-occurring keywords

stochastic gradient descent (1091) convex optimization (1321) stochastic optimization (1060) gradient descent (1144) convergence analysis (395) non-convex optimization (547) nonconvex optimization (316) variance reduction (523) stochastic gradient (296) learning theory (519)

Papers

Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron AISTATS 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NIPS 2019
Rates of Convergence for Large-scale Nearest Neighbor Classification NIPS 2019
An adaptive Mirror-Prox method for variational inequalities with singular operators NIPS 2019
An asymptotic analysis of distributed nonparametric methods JMLR 2019
Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces JMLR 2019
SGD without Replacement: Sharper Rates for General Smooth Convex Functions ICML 2019
Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems JMLR 2019
Deep Neural Networks Learn Non-Smooth Functions Effectively AISTATS 2019
Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019
Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization JMLR 2019
Stagewise Training Accelerates Convergence of Testing Error Over SGD NIPS 2019
Comparing EM with GD in Mixture Models of Two Components UAI 2019
Cubic Regularization with Momentum for Nonconvex Optimization UAI 2019
An adaptive nearest neighbor rule for classification NIPS 2019
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem NIPS 2019
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates NIPS 2019
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias UAI 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization NIPS 2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NIPS 2019
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator AISTATS 2019
Proximal Splitting Meets Variance Reduction AISTATS 2019
Acceleration via Symplectic Discretization of High-Resolution Differential Equations NIPS 2019
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD NIPS 2019