Mathematics

High-dimensional quantile tensor regression JMLR 2020 Higher-Order Spectral Clustering of Directed Graphs NeurIPS 2020 History to Myths: Social Network Analysis for Comparison of Stories over Time COLING 2020 Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020 Implicit Neural Representations with Periodic Activation Functions NeurIPS 2020 Implicit Regularization of Random Feature Models ICML 2020 Importance Sampling via Local Sensitivity AISTATS 2020 Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study ICML 2020 Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method NeurIPS 2020 Improved Model for Vocal Folds with a Polyp with Potential Application Interspeech 2020 Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020 Improving Partition-Block-Based Acoustic Echo Canceler in Under-Modeling Scenarios Interspeech 2020 Improving Sparse Vector Technique with Renyi Differential Privacy NeurIPS 2020 Imputation estimators for unnormalized models with missing data AISTATS 2020 Incremental Symmetry Breaking Constraints for Graph Search Problems AAAI 2020 Inference of Dynamic Graph Changes for Functional Connectome AISTATS 2020 Inferring Degrees from Incomplete Networks and Nonlinear Dynamics IJCAI 2020 Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations AAAI 2020 Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip AAAI 2020 Information theoretic limits of learning a sparse rule NeurIPS 2020 Information Theoretic Optimal Learning of Gaussian Graphical Models COLT 2020 Information-Theoretic Probing with Minimum Description Length EMNLP 2020 In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks CVPR 2020 Input-Sparsity Low Rank Approximation in Schatten Norm ICML 2020 Instance Based Approximations to Profile Maximum Likelihood NeurIPS 2020