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Mathematics

6,356 papers (9 classified directly here)

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Papers (including subtopics)

Space and Time Efficient Kernel Density Estimation in High Dimensions NeurIPS 2019 Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis AAAI 2019 Speaking Rate, Information Density, and Information Rate in First-Language and Second-Language Speech Interspeech 2019 Specializing Word Embeddings (for Parsing) by Information Bottleneck EMNLP 2019 Spectral Clustering in Heterogeneous Information Networks AAAI 2019 Spectral Clustering of Signed Graphs via Matrix Power Means ICML 2019 Spectral Modification of Graphs for Improved Spectral Clustering NeurIPS 2019 Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility Interspeech 2019 Spectrum Estimation from a Few Entries JMLR 2019 Speech Separation Using Independent Vector Analysis with an Amplitude Variable Gaussian Mixture Model Interspeech 2019 Stability of Linear Structural Equation Models of Causal Inference UAI 2019 State Aggregation Learning from Markov Transition Data NeurIPS 2019 Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem NeurIPS 2019 Statistical Optimal Transport via Factored Couplings AISTATS 2019 Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement ICML 2019 Stochastic Deep Networks ICML 2019 Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization ICML 2019 Structured Graph Learning Via Laplacian Spectral Constraints NeurIPS 2019 Structure Learning with Side Information: Sample Complexity NeurIPS 2019 Sublinear Time Numerical Linear Algebra for Structured Matrices AAAI 2019 Submodular Observation Selection and Information Gathering for Quadratic Models ICML 2019 Supervised User Ranking in Signed Social Networks AAAI 2019 Symmetrization for Embedding Directed Graphs AAAI 2019 Temporal Quilting for Survival Analysis AISTATS 2019 Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019