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stochastic optimization

1060 papers

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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

Generalization for Adaptively-chosen Estimators via Stable Median COLT 2017
Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$ COLT 2017
A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation RSS 2017
Probabilistic Line Searches for Stochastic Optimization JMLR 2017
Linear Convergence of Stochastic Frank Wolfe Variants AISTATS 2017
Linear Thompson Sampling Revisited AISTATS 2017
Optimistic Planning for the Stochastic Knapsack Problem AISTATS 2017
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks NIPS 2017
Reducing Reparameterization Gradient Variance NIPS 2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NIPS 2017
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery ICML 2017
Less than a Single Pass: Stochastically Controlled Stochastic Gradient AISTATS 2017
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints COLT 2017
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks IJCAI 2017
Constraint-Based Symmetry Detection in General Game Playing IJCAI 2017
Nonlinear Acceleration of Stochastic Algorithms NIPS 2017
Stochastic Submodular Maximization: The Case of Coverage Functions NIPS 2017
Affine-Invariant Online Optimization and the Low-rank Experts Problem NIPS 2017
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis NIPS 2017
Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter NIPS 2017
Stochastic Constraint Programming IJCAI 2017
Training Deep Networks without Learning Rates Through Coin Betting NIPS 2017
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems NIPS 2017
Gradient Boosting on Stochastic Data Streams AISTATS 2017
Storage Fit Learning with Unlabeled Data IJCAI 2017