Mathematics & Optimization

Super-efficiency of automatic differentiation for functions defined as a minimum ICML 2020 Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020 SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm NeurIPS 2020 Surprisal Predicts Code-Switching in Chinese-English Bilingual Text EMNLP 2020 SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NeurIPS 2020 Swap Stability in Schelling Games on Graphs AAAI 2020 Swarm Intelligence for Self-Organized Clustering (Extended Abstract) IJCAI 2020 Synchronizing Probability Measures on Rotations via Optimal Transport CVPR 2020 Synthesizing strategies under expected and exceptional environment behaviors IJCAI 2020 Systematically Exploring Associations among Multivariate Data AAAI 2020 System Identification with Time-Aware Neural Sequence Models AAAI 2020 Taking a hint: How to leverage loss predictors in contextual bandits? COLT 2020 Taming Discrete Integration via the Boon of Dimensionality NeurIPS 2020 Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes JMLR 2020 Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization AISTATS 2020 TellTail: Fast Scoring and Detection of Dense Subgraphs AAAI 2020 Temporal Relations Annotation and Extrapolation Based on Semi-intervals and Boundig Relations COLING 2020 Temporal Variability in Implicit Online Learning NeurIPS 2020 Tensor denoising and completion based on ordinal observations ICML 2020 Tensorized Random Projections AISTATS 2020 Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering AAAI 2020 Testing Determinantal Point Processes NeurIPS 2020 Testing Goodness of Fit of Conditional Density Models with Kernels UAI 2020 Textual Data Augmentation for Efficient Active Learning on Tiny Datasets EMNLP 2020 The Adaptive Complexity of Maximizing a Gross Substitutes Valuation NeurIPS 2020