Found: 15
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Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements.
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- Journal of Machine Learning Research, 2022, v. 23, p. 1
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- Article
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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- Article
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction.
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- Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1
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- Article
A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms.
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- Journal of Machine Learning Research, 2017, v. 18, n. 124/149, p. 1
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- Article
Softmax policy gradient methods can take exponential time to converge.
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- Mathematical Programming, 2023, v. 201, n. 1/2, p. 707, doi. 10.1007/s10107-022-01920-6
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- Article
Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval.
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- Mathematical Programming, 2019, v. 176, n. 1/2, p. 5, doi. 10.1007/s10107-019-01363-6
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- Article
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model.
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- Operations Research, 2024, v. 72, n. 1, p. 203, doi. 10.1287/opre.2023.2451
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- Article
Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis.
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- Operations Research, 2024, v. 72, n. 1, p. 222, doi. 10.1287/opre.2023.2450
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- Article
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization.
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- Operations Research, 2022, v. 70, n. 4, p. 2563, doi. 10.1287/opre.2021.2151
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- Article
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution.
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- Foundations of Computational Mathematics, 2020, v. 20, n. 3, p. 451, doi. 10.1007/s10208-019-09429-9
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A large collection of real-world pediatric sleep studies.
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- Scientific Data, 2022, v. 9, n. 1, p. 1, doi. 10.1038/s41597-022-01545-6
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- Article
Fast and provable tensor robust principal component analysis via scaled gradient descent.
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- Information & Inference: A Journal of the IMA, 2023, v. 12, n. 3, p. 1716, doi. 10.1093/imaiai/iaad019
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- Article
Breaking the sample complexity barrier to regret-optimal model-free reinforcement learning.
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- Information & Inference: A Journal of the IMA, 2023, v. 12, n. 2, p. 969, doi. 10.1093/imaiai/iaac034
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- Article
Non-convex low-rank matrix recovery with arbitrary outliers via median-truncated gradient descent.
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- Information & Inference: A Journal of the IMA, 2020, v. 9, n. 2, p. 289, doi. 10.1093/imaiai/iaz009
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- Article
A lightweight transformer for faster and robust EBSD data collection.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-47936-6
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- Article