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SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics., , and . CoRR, (2023)Graph Powering and Spectral Robustness., , , and . SIAM J. Math. Data Sci., 2 (1): 132-157 (2020)Sample Efficient Active Learning of Causal Trees., , , , , , and . NeurIPS, page 14279-14289. (2019)The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks., , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 4782-4887. PMLR, (2022)The staircase property: How hierarchical structure can guide deep learning., , , , and . NeurIPS, page 26989-27002. (2021)Approximating the Determinant of Well-Conditioned Matrices by Shallow Circuits., , and . CoRR, (2019)Hardness results for Multimarginal Optimal Transport problems., and . CoRR, (2020)Chow-Liu++: Optimal Prediction-Centric Learning of Tree Ising Models., , and . FOCS, page 417-426. IEEE, (2021)Wasserstein barycenters can be computed in polynomial time in fixed dimension., and . J. Mach. Learn. Res., (2021)SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics., , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 2552-2623. PMLR, (2023)