stochastic optimization

Distributed Primal-Dual Optimization for Non-uniformly Distributed Data IJCAI 2018 Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters JMLR 2018 Dynamic Resource Routing using Real-Time Dynamic Programming IJCAI 2018 Efficient online algorithms for fast-rate regret bounds under sparsity NeurIPS 2018 Efficient Online Portfolio with Logarithmic Regret NeurIPS 2018 Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines ICML 2018 Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate ICML 2018 Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018 First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time NeurIPS 2018 Horizon-Independent Minimax Linear Regression NeurIPS 2018 Implicational Universals in Stochastic Constraint-Based Phonology EMNLP 2018 Importance Sampling for Minibatches JMLR 2018 Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018 Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization ICML 2018 Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data ICML 2018 Local Convergence Properties of SAGA/Prox-SVRG and Acceleration ICML 2018 Methods for off-line/on-line optimization under uncertainty IJCAI 2018 Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NeurIPS 2018 Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks ICLR 2018 Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018 Non-convex Conditional Gradient Sliding ICML 2018 On Acceleration with Noise-Corrupted Gradients ICML 2018 Online Adaptive Methods, Universality and Acceleration NeurIPS 2018 Online convex optimization for cumulative constraints NeurIPS 2018 Online Variance Reduction for Stochastic Optimization COLT 2018