Stochastic Methods

An Optimal Algorithm for Stochastic Three-Composite Optimization AISTATS 2019 An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule ICML 2019 Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior IJCAI 2019 Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019 A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes ICML 2019 Approximate Inference of Outcomes in Probabilistic Elections AAAI 2019 Approximating the Permanent by Sampling from Adaptive Partitions NeurIPS 2019 Approximation Algorithms for Stochastic Clustering JMLR 2019 Articulatory Copy Synthesis Based on a Genetic Algorithm Interspeech 2019 A Stochastic Composite Gradient Method with Incremental Variance Reduction NeurIPS 2019 A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem AAAI 2019 A unified variance-reduced accelerated gradient method for convex optimization NeurIPS 2019 A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise COLT 2019 A Universally Optimal Multistage Accelerated Stochastic Gradient Method NeurIPS 2019 Bandits with Feedback Graphs and Switching Costs NeurIPS 2019 Batched Multi-armed Bandits Problem NeurIPS 2019 Bayesian optimisation under uncertain inputs AISTATS 2019 Bayesian Optimization under Heavy-tailed Payoffs NeurIPS 2019 Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis IJCAI 2019 Better generalization with less data using robust gradient descent ICML 2019 Beyond Gradient Descent for Regularized Segmentation Losses CVPR 2019 Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization NeurIPS 2019 Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging CVPR 2019 Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback NeurIPS 2019 Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting AAAI 2019