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Mathematics

6,356 papers (9 classified directly here)

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Papers (including subtopics)

SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NeurIPS 2020 Swap Stability in Schelling Games on Graphs AAAI 2020 Systematically Exploring Associations among Multivariate Data AAAI 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 Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering AAAI 2020 Testing Determinantal Point Processes NeurIPS 2020 The All-or-Nothing Phenomenon in Sparse Tensor PCA NeurIPS 2020 The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application ICML 2020 The Complete Lasso Tradeoff Diagram NeurIPS 2020 The Complexity of Election Problems with Group-Separable Preferences IJCAI 2020 The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions AISTATS 2020 The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space NeurIPS 2020 The Gradient Complexity of Linear Regression COLT 2020 The Phonology and Phonetics of Kaifeng Mandarin Vowels Interspeech 2020 The Potts-Ising model for discrete multivariate data NeurIPS 2020 The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time AISTATS 2020 The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response AAAI 2020 The Sylvester Graphical Lasso (SyGlasso) AISTATS 2020 The weight function in the subtree kernel is decisive JMLR 2020 Threshold Treewidth and Hypertree Width IJCAI 2020 Tight Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance ICML 2020 Tight Convergence Rate of Gradient Descent for Eigenvalue Computation IJCAI 2020