Mathematics & Optimization

Tree-Sliced Variants of Wasserstein Distances NeurIPS 2019 Trivializations for Gradient-Based Optimization on Manifolds NeurIPS 2019 Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels NeurIPS 2019 Twitter Homophily: Network Based Prediction of User’s Occupation ACL 2019 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets JMLR 2019 Ultra Fast Medoid Identification via Correlated Sequential Halving NeurIPS 2019 Ultrametric Fitting by Gradient Descent NeurIPS 2019 Unbiased Smoothing using Particle Independent Metropolis-Hastings AISTATS 2019 Unbounded Orchestrations of Transducers for Manufacturing AAAI 2019 Unbounded Stress in Subregular Phonology ACL 2019 Understanding Composition of Word Embeddings via Tensor Decomposition ICLR 2019 Understanding Sparse JL for Feature Hashing NeurIPS 2019 Understanding the Role of Momentum in Stochastic Gradient Methods NeurIPS 2019 Uniform concentration and symmetrization for weak interactions COLT 2019 Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension ICML 2019 Unifying Orthogonal Monte Carlo Methods ICML 2019 Unifying Search-based and Compilation-based Approaches to Multi-agent Path Finding through Satisfiability Modulo Theories IJCAI 2019 Unifying the Stochastic and the Adversarial Bandits with Knapsack IJCAI 2019 Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit AISTATS 2019 Universality in Learning from Linear Measurements NeurIPS 2019 Universality of Computational Lower Bounds for Submatrix Detection COLT 2019 Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions ICLR 2019 UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization NeurIPS 2019 Unsupervised Feature Selection by Pareto Optimization AAAI 2019 User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NeurIPS 2019