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Graph-based regularization for regression problems with highly-correlated designs., , and . CoRR, (2018)Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data., , , , and . MLHC, volume 68 of Proceedings of Machine Learning Research, page 177-190. PMLR, (2017)Dynamical Models and tracking regret in online convex programming., and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 579-587. JMLR.org, (2013)Compressed sensing performance bounds under Poisson noise., , , and . IEEE Trans. Signal Process., 58 (8): 3990-4002 (2010)Target detection performance bounds in compressive imaging., , and . EURASIP J. Adv. Signal Process., (2012)Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions., , , and . CoRR, (2020)Tensor Methods for Nonlinear Matrix Completion., , , , and . SIAM J. Math. Data Sci., 3 (1): 253-279 (2021)Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs., , , , , and . SIAM J. Math. Data Sci., 2 (2): 480-504 (2020)The Role of Linear Layers in Nonlinear Interpolating Networks., and . CoRR, (2022)Graph Signal Processing: Foundations and Emerging Directions From the Guest Editors., , , , and . IEEE Signal Process. Mag., 37 (6): 11-13 (2020)