← 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

A Stochastic Bandit Algorithm for Scratch Games ACML 2012
Stochastic Bandit Based on Empirical Moments AISTATS 2012
Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NIPS 2012
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012
Non-parametric Approximate Dynamic Programming via the Kernel Method NIPS 2012
Risk-Aversion in Multi-armed Bandits NIPS 2012
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NIPS 2012
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Optimal Regularized Dual Averaging Methods for Stochastic Optimization NIPS 2012
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NIPS 2012
Scalable Inference of Overlapping Communities NIPS 2012
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NIPS 2012
Relax and Randomize : From Value to Algorithms NIPS 2012
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012
Statistical Optimization in High Dimensions AISTATS 2012
Beating SGD: Learning SVMs in Sublinear Time NIPS 2011
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond COLT 2011
Distributed Delayed Stochastic Optimization NIPS 2011
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization JMLR 2011
Budgeted Optimization with Concurrent Stochastic-Duration Experiments NIPS 2011
Sparse Recovery with Brownian Sensing NIPS 2011
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure AISTATS 2011
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression COLT 2011