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

O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions ICML 2013
Cluster Trees on Manifolds NIPS 2013
Scale Invariant Conditional Dependence Measures ICML 2013
Divide and Conquer Kernel Ridge Regression COLT 2013
Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013
Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013
On the Convergence of Maximum Variance Unfolding JMLR 2013
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NIPS 2013
General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013
Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013
On the Mutual Nearest Neighbors Estimate in Regression JMLR 2013
Mixed Optimization for Smooth Functions NIPS 2013
On the Sample Complexity of Robust PCA NIPS 2012
L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 2012
Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences COLT 2012
PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NIPS 2012
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NIPS 2012
Stochastic Gradient Descent with Only One Projection NIPS 2012
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NIPS 2012
Mixability in Statistical Learning NIPS 2012
Ensemble weighted kernel estimators for multivariate entropy estimation NIPS 2012
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NIPS 2012
On the Convergence Rate of -Norm Multiple Kernel Learning JMLR 2012