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stochastic optimization

1060 papers

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SO

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

-Armed Bandits JMLR 2011
Stochastic Methods for -regularized Loss Minimization JMLR 2011
Better Mini-Batch Algorithms via Accelerated Gradient Methods NIPS 2011
Statistical Tests for Optimization Efficiency NIPS 2011
Stochastic convex optimization with bandit feedback NIPS 2011
Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences COLT 2011
Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization COLT 2011
Better Algorithms for Benign Bandits JMLR 2011
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback AISTATS 2011
Throttling Poisson Processes NIPS 2010
Online Learning for Latent Dirichlet Allocation NIPS 2010
Online Learning in The Manifold of Low-Rank Matrices NIPS 2010
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable NIPS 2010
Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010
Information-theoretic lower bounds on the oracle complexity of convex optimization NIPS 2009
Online Learning with Sample Path Constraints JMLR 2009
Accelerated Gradient Methods for Stochastic Optimization and Online Learning NIPS 2009
A General Projection Property for Distribution Families NIPS 2009
Slow Learners are Fast NIPS 2009
Periodic Step Size Adaptation for Single Pass On-line Learning NIPS 2009
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NIPS 2009
Fast Rates for Regularized Objectives NIPS 2008
Mortal Multi-Armed Bandits NIPS 2008
Algorithms for Infinitely Many-Armed Bandits NIPS 2008