Found: 9
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A Single-Phase, Proximal Path-Following Framework.
- Published in:
- Mathematics of Operations Research, 2018, v. 43, n. 4, p. 1326, doi. 10.1287/moor.2017.0907
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- Article
A Newton Frank–Wolfe method for constrained self-concordant minimization.
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- Journal of Global Optimization, 2022, v. 83, n. 2, p. 273, doi. 10.1007/s10898-021-01105-z
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- Article
Chemical machine learning with kernels: The impact of loss functions.
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- International Journal of Quantum Chemistry, 2019, v. 119, n. 9, p. N.PAG, doi. 10.1002/qua.25872
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- Article
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms.
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- Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1
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- Article
Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
Composite Self-Concordant Minimization.
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- Journal of Machine Learning Research, 2015, v. 16, p. 371
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- Article
A unified stochastic approximation framework for learning in games.
- Published in:
- Mathematical Programming, 2024, v. 203, n. 1/2, p. 559, doi. 10.1007/s10107-023-02001-y
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- Article
Convergence of the Exponentiated Gradient Method with Armijo Line Search.
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- Journal of Optimization Theory & Applications, 2019, v. 181, n. 2, p. 588, doi. 10.1007/s10957-018-1428-9
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- Article
Forward-reflected-backward method with variance reduction.
- Published in:
- Computational Optimization & Applications, 2021, v. 80, n. 2, p. 321, doi. 10.1007/s10589-021-00305-3
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- Article