Showing 1–20 of 89 results
/ Date/ Name
Feb 2, 2012High-Dimensional Feature Selection by Feature-Wise Kernelized LassoOct 16, 2023An Empirical Study of Self-supervised Learning with Wasserstein DistanceFeb 21, 2017Interpreting Outliers: Localized Logistic Regression for Density Ratio EstimationMar 22, 2016Localized Lasso for High-Dimensional RegressionNov 16, 2017Deep Matching AutoencodersMay 16, 2025PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from VideoMar 29, 2011Least-Squares Independence Regression for Non-Linear Causal Inference under Non-Gaussian NoiseJun 24, 2022Approximating 1-Wasserstein Distance with TreesDec 7, 2010Cross-Domain Object Matching with Model SelectionOct 12, 2016Post Selection Inference with KernelsFeb 17, 2018Post Selection Inference with Incomplete Maximum Mean Discrepancy EstimatorSep 5, 2019LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal TransportJun 19, 2012Dependence Maximizing Temporal Alignment via Squared-Loss Mutual InformationJun 23, 2011Relative Density-Ratio Estimation for Robust Distribution ComparisonJan 23, 2020FsNet: Feature Selection Network on High-dimensional Biological DataMar 25, 2011Sufficient Component Analysis for Supervised Dimension ReductionJul 4, 2015Convex Factorization Machine for RegressionNov 10, 2014N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional DataMay 25, 2020Feature Robust Optimal Transport for High-dimensional DataAug 14, 2016Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data