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Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference., , and . IEEE Trans. Inf. Theory, 68 (9): 5975-6002 (2022)Self-supervised Denoising via Low-rank Tensor Approximated Convolutional Neural Network., , and . CoRR, (2022)Fast and Reliable Generation of EHR Time Series via Diffusion Models., , , , and . CoRR, (2023)Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection., and . COLT, volume 125 of Proceedings of Machine Learning Research, page 3852-3856. PMLR, (2020)Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ‖., , , and . ICASSP, page 9057-9061. IEEE, (2022)Sparse and Low-rank Tensor Estimation via Cubic Sketchings., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1319-1330. PMLR, (2020)Learning Polynomial Transformations via Generalized Tensor Decompositions., , , and . STOC, page 1671-1684. ACM, (2023)Soft phenotyping for sepsis via EHR time-aware soft clustering., , , , , , and . J. Biomed. Informatics, (2024)Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence., , , and . CoRR, (2020)Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions., , , , , and . CoRR, (2022)