Showing 1–20 of 141 results
/ Date/ Name
Jan 29, 2023Implicit Regularization for Group SparsityAug 29, 2020Broadcasted Nonparametric Tensor RegressionMay 5, 2013Automatic estimation of flux distributions of astrophysical source populationsJun 2, 2018Autoencoders Learn Generative Linear ModelsNov 27, 2019Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel AnalysisNov 2, 2021A New Constraint on the Nuclear Equation of State from Statistical Distributions of Compact Remnants of SupernovaeJun 3, 2014Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRIAug 29, 2020Low-Rank Covariance Function Estimation for Multidimensional Functional DataOct 31, 2023Directed Cyclic Graph for Causal Discovery from Multivariate Functional DataJan 26, 2022Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive ModelingMar 5, 2021Estimation of Partially Conditional Average Treatment Effect by Hybrid Kernel-covariate BalancingMar 1, 2015Matrix Completion with Noisy Entries and OutliersSep 14, 2023Flexible Functional Treatment Effect EstimationJan 23, 2017Nonparametric Operator-Regularized Covariance Function Estimation for Functional DataSep 3, 2018Network estimation via graphon with node featuresSep 10, 2021Projected State-action Balancing Weights for Offline Reinforcement LearningJul 26, 2019Adjusting for Spatial Effects in Genomic PredictionApr 18, 2025Efficient Estimation under Multiple Missing Patterns via Balancing WeightsJun 18, 2020Median Matrix Completion: from Embarrassment to OptimalityOct 22, 2020CP Degeneracy in Tensor Regression