Mathematics

Phase retrieval in high dimensions: Statistical and computational phase transitions NeurIPS 2020 p-Norm Flow Diffusion for Local Graph Clustering ICML 2020 Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix ICML 2020 Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling ACML 2020 Poset Representations for Sets of Elementary Triplets PGM 2020 Precise expressions for random projections: Low-rank approximation and randomized Newton NeurIPS 2020 Predicting Declension Class from Form and Meaning ACL 2020 Premise Selection in Natural Language Mathematical Texts ACL 2020 Private Identity Testing for High-Dimensional Distributions NeurIPS 2020 Private Mean Estimation of Heavy-Tailed Distributions COLT 2020 Private Protocols for U-Statistics in the Local Model and Beyond AISTATS 2020 Processing effort is a poor predictor of cross-linguistic word order frequency CoNLL 2020 Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions NeurIPS 2020 Projection Robust Wasserstein Distance and Riemannian Optimization NeurIPS 2020 Prosody and Breathing: A Comparison Between Rhetorical and Information-Seeking Questions in German and Brazilian Portuguese Interspeech 2020 Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning NeurIPS 2020 Provable Overlapping Community Detection in Weighted Graphs NeurIPS 2020 Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization IJCAI 2020 Proximity Operator of the Matrix Perspective Function and its Applications NeurIPS 2020 Proximity Preserving Binary Code Using Signed Graph-Cut AAAI 2020 Pure-Past Linear Temporal and Dynamic Logic on Finite Traces IJCAI 2020 Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise AAAI 2020 Quadratic Decomposable Submodular Function Minimization: Theory and Practice JMLR 2020 Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables IJCAI 2020 Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality NeurIPS 2020