← 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

Tracking the Best Expert in Non-stationary Stochastic Environments NIPS 2016
Learning Deep Embeddings with Histogram Loss NIPS 2016
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM NIPS 2016
Stochastic Optimization for Large-scale Optimal Transport NIPS 2016
Incremental Variational Sparse Gaussian Process Regression NIPS 2016
Cyclades: Conflict-free Asynchronous Machine Learning NIPS 2016
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NIPS 2016
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption JMLR 2016
Hierarchical Decision Making In Electricity Grid Management ICML 2016
Variance Reduction in Stochastic Gradient Langevin Dynamics NIPS 2016
Optimistic Bandit Convex Optimization NIPS 2016
Local Minimax Complexity of Stochastic Convex Optimization NIPS 2016
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization NIPS 2016
A Linearly-Convergent Stochastic L-BFGS Algorithm AISTATS 2016
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization AISTATS 2016
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer ICCV 2015
Revenue Optimization against Strategic Buyers NIPS 2015
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NIPS 2015
Stochastic Structured Variational Inference AISTATS 2015
Global Convergence of Online Limited Memory BFGS JMLR 2015
Qualitative Multi-Armed Bandits: A Quantile-Based Approach ICML 2015
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring NIPS 2015
Fast Rates for Exp-concave Empirical Risk Minimization NIPS 2015
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NIPS 2015
Beyond Convexity: Stochastic Quasi-Convex Optimization NIPS 2015