Stochastic Methods

Finding Frequent Entities in Continuous Data IJCAI 2018 Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018 Frank-Wolfe with Subsampling Oracle ICML 2018 Frustratingly Easy Model Ensemble for Abstractive Summarization EMNLP 2018 Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NeurIPS 2018 Global Non-convex Optimization with Discretized Diffusions NeurIPS 2018 Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018 Graphical model inference: Sequential Monte Carlo meets deterministic approximations NeurIPS 2018 Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization NeurIPS 2018 High-dimensional Similarity Learning via Dual-sparse Random Projection IJCAI 2018 Implicit Probabilistic Integrators for ODEs NeurIPS 2018 Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods JMLR 2018 Improving Sign Random Projections With Additional Information ICML 2018 Inferring Networks From Random Walk-Based Node Similarities NeurIPS 2018 Integrating Demand Response and Renewable Energy In Wholesale Market IJCAI 2018 Katyusha: The First Direct Acceleration of Stochastic Gradient Methods JMLR 2018 Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization ICML 2018 Kernel Density Estimation for Dynamical Systems JMLR 2018 Kernel Recursive ABC: Point Estimation with Intractable Likelihood ICML 2018 Large-Scale Stochastic Sampling from the Probability Simplex NeurIPS 2018 Latent RANSAC CVPR 2018 Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018 Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018 Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018 Level-Set Methods for Finite-Sum Constrained Convex Optimization ICML 2018