stochastic optimization

A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise COLT 2019 A Universally Optimal Multistage Accelerated Stochastic Gradient Method NeurIPS 2019 Bandit Online Learning with Unknown Delays AISTATS 2019 Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem COLT 2019 Beyond Backprop: Online Alternating Minimization with Auxiliary Variables ICML 2019 Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging CVPR 2019 Categorized Bandits NeurIPS 2019 Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback NeurIPS 2019 Complexities in Projection-Free Stochastic Non-convex Minimization AISTATS 2019 Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator ICML 2019 Constraint Solving and Optimization Using Evolutionary Techniques IJCAI 2019 Continuous-time Models for Stochastic Optimization Algorithms NeurIPS 2019 Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations JMLR 2019 Decentralized Optimization with Edge Sampling IJCAI 2019 Deep Generalized Canonical Correlation Analysis ACL 2019 DeepOBS: A Deep Learning Optimizer Benchmark Suite ICLR 2019 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019 DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NeurIPS 2019 Direct Acceleration of SAGA using Sampled Negative Momentum AISTATS 2019 Dissimilarity Coefficient Based Weakly Supervised Object Detection CVPR 2019 Distributionally Robust Submodular Maximization AISTATS 2019 Distribution-Dependent Analysis of Gibbs-ERM Principle COLT 2019 Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines AAAI 2019 Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent NeurIPS 2019 Exploiting structure of uncertainty for efficient matroid semi-bandits ICML 2019