stochastic optimization

Online combinatorial optimization with stochastic decision sets and adversarial losses NeurIPS 2014 Online Linear Optimization via Smoothing COLT 2014 Online Stochastic Optimization under Correlated Bandit Feedback ICML 2014 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 Realtime and Robust Hand Tracking from Depth CVPR 2014 Robust Stochastic Principal Component Analysis AISTATS 2014 SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NeurIPS 2014 Scalable Kernel Methods via Doubly Stochastic Gradients NeurIPS 2014 Smoothed Gradients for Stochastic Variational Inference NeurIPS 2014 Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers ICML 2014 Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards NeurIPS 2014 Stochastic Network Design in Bidirected Trees NeurIPS 2014 Stochastic Proximal Gradient Descent with Acceleration Techniques NeurIPS 2014 Stochastic Regret Minimization via Thompson Sampling COLT 2014 Stochastic variational inference for hidden Markov models NeurIPS 2014 Towards an optimal stochastic alternating direction method of multipliers ICML 2014 Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations COLT 2014 Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NeurIPS 2013 Aggregating Predictions via Sequential Mini-Trading ACML 2013 A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013 Bounded regret in stochastic multi-armed bandits COLT 2013 Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013 Estimation, Optimization, and Parallelism when Data is Sparse NeurIPS 2013 Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013 Gossip-based distributed stochastic bandit algorithms ICML 2013