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Disambiguation of "Lee, Jason D."

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Learning One-hidden-layer Neural Networks with Landscape Design.

, , and . CoRR, (2017)

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Ian Jason

Jason Miskuly

Jason Crook

Jason Tam

Jason Pazis

 

Other publications of authors with the same name

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)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)Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2014-2023. PMLR, (2018)Label Noise SGD Provably Prefers Flat Global Minimizers., , and . NeurIPS, page 27449-27461. (2021)Predicting What You Already Know Helps: Provable Self-Supervised Learning., , , and . NeurIPS, page 309-323. (2021)Adding One Neuron Can Eliminate All Bad Local Minima., , , and . NeurIPS, page 4355-4365. (2018)Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced., , and . NeurIPS, page 382-393. (2018)