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Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 18171-18206. PMLR, (2023)Anderson acceleration of coordinate descent., и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1288-1296. PMLR, (2021)On the Stability of Iterative Retraining of Generative Models on their own Data., , , , и . ICLR, OpenReview.net, (2024)Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning., , , , , , и . J. Mach. Learn. Res., (2022)Implicit differentiation of Lasso-type models for hyperparameter optimization., , , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 810-821. PMLR, (2020)Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences., , , и . CoRR, (2024)Anderson acceleration of coordinate descent., и . CoRR, (2020)Local linear convergence of proximal coordinate descent algorithm., , , , и . Optim. Lett., 18 (1): 135-154 (января 2024)Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso., , , и . NeurIPS, стр. 3961-3972. (2019)Implicit differentiation for fast hyperparameter selection in non-smooth convex learning., , , , , , и . CoRR, (2021)