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Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions.

, , , , and . NeurIPS, (2020)

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The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance., , , , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 313-355. PMLR, (2022)A distributional interpretation of robust optimization., , and . Allerton, page 552-556. IEEE, (2010)System level optimization in wireless networks with uncertain customer arrival rates., and . Allerton, page 1022-1029. IEEE, (2008)Contextual Pandora's Box., , , , and . AAAI, page 10944-10952. AAAI Press, (2024)EM Converges for a Mixture of Many Linear Regressions., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1727-1736. PMLR, (2020)High Dimensional Robust Sparse Regression., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 411-421. PMLR, (2020)The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians., and . COLT, volume 125 of Proceedings of Machine Learning Research, page 2425-2487. PMLR, (2020)Minimax Gaussian Classification & Clustering., , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1-9. PMLR, (2017)Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression., , , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 2055-2110. PMLR, (2019)Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking., , and . NeurIPS, (2020)