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Disambiguation of "Lee, Jason D."

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Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima.

, , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1338-1347. PMLR, (2018)

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Ian Jason

Jason Miskuly

Jason Crook

Jason Tam

Jason Pazis

 

Other publications of authors with the same name

Gradient Descent Finds Global Minima of Deep Neural Networks., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1675-1685. PMLR, (2019)Structure Learning of Mixed Graphical Models., and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 388-396. JMLR.org, (2013)Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data., , , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1150-1158. PMLR, (2017)Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes., , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 64-66. PMLR, (2020)Matrix completion and low-rank SVD via fast alternating least squares., , , and . J. Mach. Learn. Res., (2015)Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability., , and . CoRR, (2022)Computational-Statistical Gaps in Gaussian Single-Index Models., , , and . CoRR, (2024)Shape Matters: Understanding the Implicit Bias of the Noise Covariance., , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 2315-2357. PMLR, (2021)Neural Networks can Learn Representations with Gradient Descent., , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 5413-5452. PMLR, (2022)On the Convergence and Robustness of Training GANs with Regularized Optimal Transport., , , and . NeurIPS, page 7091-7101. (2018)