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Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights., , , and . NeurIPS, page 13166-13175. (2019)Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 6087-6120. PMLR, (2022)Fast and Flexible ADMM Algorithms for Trend Filtering., and . CoRR, (2014)A Continuous-Time View of Early Stopping for Least Squares Regression., , and . CoRR, (2018)Fast and Flexible ADMM Algorithms for Trend Filtering, and . Journal of Computational and Graphical Statistics, 25 (3): 839--858 (Aug 29, 2015)Nearly-Isotonic Regression, , and . Technometrics, 53 (1): 54--61 (2011)A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening., , , and . NIPS, page 6884-6893. (2017)The Implicit Regularization of Stochastic Gradient Flow for Least Squares., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 233-244. PMLR, (2020)Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3178-3186. PMLR, (2021)Conformal Prediction Under Covariate Shift., , , and . NeurIPS, page 2526-2536. (2019)