← Keywords

stochastic optimization

1060 papers

Explore in graph

Also known as

SO SVRG SSO SGD

Co-occurring keywords

regret bound (1918) online learning (1770) variance reduction (520) multi-armed bandit (1091) convex optimization (1320) convergence rate (606) non-convex optimization (546) stochastic gradient descent (1088) gradient descent (1143) nonconvex optimization (316)

Papers

Loss-Proportional Subsampling for Subsequent ERM ICML 2013
Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization ICML 2013
Passive Learning with Target Risk COLT 2013
Gossip-based distributed stochastic bandit algorithms ICML 2013
Aggregating Predictions via Sequential Mini-Trading ACML 2013
Multi-armed Bandit Problem with Lock-up Periods ACML 2013
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NIPS 2013
Stochastic Alternating Direction Method of Multipliers ICML 2013
Stochastic Simultaneous Optimistic Optimization ICML 2013
Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013
Stochastic Deconvolution CVPR 2013
The Fast Convergence of Incremental PCA NIPS 2013
Online PCA for Contaminated Data NIPS 2013
Mixed Optimization for Smooth Functions NIPS 2013
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression JMLR 2013
Online Learning of Dynamic Parameters in Social Networks NIPS 2013
Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013
Solving inverse problem of Markov chain with partial observations NIPS 2013
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NIPS 2013
Bounded regret in stochastic multi-armed bandits COLT 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization JMLR 2013
Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality JMLR 2013
Memoized Online Variational Inference for Dirichlet Process Mixture Models NIPS 2013
There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012