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large neural network (1) neural network (1) global test statistic (1) test risk (1) out-of-sample error (1) adaptive tuning (1) proportional asymptotics (1) robust m-estimator (1) test statistic (1) least absolute (1)

Papers

Error estimation and adaptive tuning for unregularized robust M-estimator JMLR 2025 More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory ICLR 2024 Regression Learning with Limited Observations of Multivariate Outcomes and Features ICML 2024 Lazy Estimation of Variable Importance for Large Neural Networks ICML 2022 A Powerful Global Test Statistic for Functional Statistical Inference AAAI 2019