Mathematics & Optimization

Stochastic Multi-armed Bandits in Constant Space AISTATS 2018 Stochastic PCA with ℓ_2 and ℓ_1 Regularization ICML 2018 Stochastic Proximal Algorithms for AUC Maximization ICML 2018 Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018 Stochastic Spectral and Conjugate Descent Methods NeurIPS 2018 Stochastic Three-Composite Convex Minimization with a Linear Operator AISTATS 2018 Stochastic Wasserstein Barycenters ICML 2018 Stochastic Zeroth-order Optimization in High Dimensions AISTATS 2018 Stratification for Constraint-Based Multi-Objective Combinatorial Optimization IJCAI 2018 Streaming kernel regression with provably adaptive mean, variance, and regularization JMLR 2018 Structured Gaussian Processes with Twin Multiple Kernel Learning ACML 2018 Structured Local Minima in Sparse Blind Deconvolution NeurIPS 2018 Structured Optimal Transport AISTATS 2018 Structure From Recurrent Motion: From Rigidity to Recurrency CVPR 2018 Structure Learning of ${H}$-colorings ALT 2018 Stylistic variation over 200 years of court proceedings according to gender and social class NAACL 2018 Sublinear Time Low-Rank Approximation of Distance Matrices NeurIPS 2018 Submatrix localization via message passing JMLR 2018 Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering ICML 2018 Submodularity on Hypergraphs: From Sets to Sequences AISTATS 2018 Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions NeurIPS 2018 Subpolynomial trace reconstruction for random strings \{and arbitrary deletion probability COLT 2018 Subsampling for Ridge Regression via Regularized Volume Sampling AISTATS 2018 Subspace Embedding and Linear Regression with Orlicz Norm ICML 2018 Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds NeurIPS 2018