نتائج البحث

Gradient regularization of Newton method with Bregman distances

• Authors : Doikov, Nikita; Nesterov, Yurii; UCL - SSH/LIDAM/CORE - Center for operations research and econometrics

Subjects: Newton method; Regularization; Convex optimization

• Source: Mathematical programming, (2023)

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Affine-invariant contracting-point methods for Convex Optimization

• Authors : Doikov, Nikita; Nesterov, Yurii;

Subjects: Convex optimization; Frank-Wolfe algorithm; Newton method

• Source: Mathematical Programming, Vol. 198, no. 1, p. 115-137 (2023)

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Local convergence of tensor methods

• Authors : Doikov, Nikita; Nesterov, Yurii;

Subjects: Convex optimization; High-order methods; Tensor methods

• Source: Mathematical Programming, Vol. 193, no. 1, p. 315-336 (2022)

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High-Order Optimization Methods for Fully Composite Problems

• Authors : Doikov, Nikita; Nesterov, Yurii;

Subjects: Theoretical Computer Science; Software; Applied Mathematics

• Source: SIAM Journal on Optimization, Vol. 32, no.3, p. 2402-2427 (2022)

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Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method

• Authors : Doikov, Nikita; Nesterov, Yurii; UCL - SST/ICTM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics

Subjects: Applied Mathematics; Management Science and Operations Research; Control and Optimization

• Source: Journal of Optimization Theory and Applications, Vol. 189, no.1, p. 317-339 (2021)

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Contracting Proximal Methods for Smooth Convex Optimization

• Authors : Doikov, Nikita; Nesterov, Yurii; UCL - SSH/LIDAM/CORE - Center for operations research and econometrics

Subjects: Convex optimization; proximal method; accelerated methods

• Source: SIAM Journal on Optimization, Vol. 30, no.4, p. 3146-3169 (2020)

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Optimization Methods for Fully Composite Problems

• Authors : Doikov, Nikita; Nesterov, Yurii; UCL - SSH/LIDAM/CORE - Center for operations research and econometrics

Subjects: Convex Optimization; Constrained Optimization; Nonsmooth Optimization

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Convex optimization based on global lower second-order models

• Authors : Doikov, Nikita; Nesterov, Yurii; UCL - SSH/LIDAM/CORE - Center for operations research and econometrics

تفاصيل العنوان

Affine-invariant contracting-point methods for Convex Optimization

• Authors : Doikov, Nikita; Nesterov, Yurii; UCL - SSH/LIDAM/CORE - Center for operations research and econometrics

Subjects: Convex Optimization; Frank-Wolfe algorithm; Newton method

تفاصيل العنوان

Local convergence of tensor methods

• Authors : Doikov, Nikita; Nesterov, Yurii; UCL - SSH/LIDAM/CORE - Center for operations research and econometrics

Subjects: convex optimization; high-order methods; tensor methods

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