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

Starting Small - Learning with Adaptive Sample Sizes ICML 2016
Fast Algorithms for Segmented Regression ICML 2016
Fast Convergence of Online Pairwise Learning Algorithms AISTATS 2016
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NIPS 2016
Herded Gibbs Sampling JMLR 2016
Convergence guarantees for kernel-based quadrature rules in misspecified settings NIPS 2016
\ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NIPS 2015
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NIPS 2015
Convergence Analysis of Prediction Markets via Randomized Subspace Descent NIPS 2015
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets ICML 2015
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization ACML 2015
Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis JMLR 2015
Accelerated Proximal Gradient Methods for Nonconvex Programming NIPS 2015
Fast Rates for Exp-concave Empirical Risk Minimization NIPS 2015
Learning Theory of Randomized Kaczmarz Algorithm JMLR 2015
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015
Convergence Rates of Active Learning for Maximum Likelihood Estimation NIPS 2015
Convergence rates of sub-sampled Newton methods NIPS 2015
Open Problem: The Oracle Complexity of Smooth Convex Optimization in Nonstandard Settings COLT 2015
Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015
Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NIPS 2015
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization ICML 2015
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection ICML 2015