Mathematics & Optimization

Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis AISTATS 2018 Riemannian Stochastic Recursive Gradient Algorithm ICML 2018 Robust Graph Dimensionality Reduction IJCAI 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NeurIPS 2018 Robust Maximization of Non-Submodular Objectives AISTATS 2018 Robust Multi-view Learning via Half-quadratic Minimization IJCAI 2018 Robust PCA by Manifold Optimization JMLR 2018 Robust Subspace Approximation in a Stream NeurIPS 2018 Robust Topological Inference: Distance To a Measure and Kernel Distance JMLR 2018 Robust Vertex Enumeration for Convex Hulls in High Dimensions AISTATS 2018 Rotation Averaging and Strong Duality CVPR 2018 RSG: Beating Subgradient Method without Smoothness and Strong Convexity JMLR 2018 RStream: Marrying Relational Algebra with Streaming for Efficient Graph Mining on A Single Machine OSDI 2018 SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018 Safe Element Screening for Submodular Function Minimization ICML 2018 SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate ICML 2018 Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation NeurIPS 2018 Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018 Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees RSS 2018 Saturating Splines and Feature Selection JMLR 2018 Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints ICML 2018 Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective CVPR 2018 Scalable Hash-Based Estimation of Divergence Measures AISTATS 2018 Scalable Robust Matrix Factorization with Nonconvex Loss NeurIPS 2018 Scalar Posterior Sampling with Applications NeurIPS 2018