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Apr 25, 2024 · Yong Sheng Soh, Venkat Chandrasekaran: Fitting Tractable Convex Sets to Support Function Evaluations ...
Dec 22, 2023 · Fitting Tractable Convex Sets to Support Function Evaluations. Sep 2021DISCRETE & COMPUTATIONAL GEOMETRY66(2):510-551 (42 pages)SPRINGER. Co-authors Soh YS ...
Sep 29, 2023 · Fitting Tractable Convex Sets to Support Function Evaluations. 25 February 2021 by Yong Sheng Soh and Venkat Chandrasekaran · Statistics Theory, Computational ...
Aug 29, 2024 · Optimal rates of convergence for convex set estimation from support functions. ... Fitting tractable convex sets to support function evaluations. Discrete and ...
Mar 16, 2024 · The fitted convex regression function appears sharper, while the fitted CSVR functions seem relatively smooth, implying the difference in the loss function.
Missing: Evaluations. | Show results with:Evaluations.
Apr 3, 2024 · As far as numerical processing of programs (P) is concerned, there exists a. “solvable case” – the one of convex optimization programs, where the objective f.
Apr 9, 2024 · Given a renormalization scheme, we show how to formulate a tractable convex relaxation of the set of feasible local density matrices of a many-body quantum ...
Jun 11, 2024 · ▷ used data from 1990 to 2024 to fit basis functions, latest yields, and spread to price bonds. ▷ fit yields and spreads to bond prices gives $0.03 RMSE (2.9 ...
Jul 3, 2024 · The DPP rules depend on well-known composition theorems for convex functions, and ensure that every function in the program is convex in the decision variables, ...
Feb 6, 2024 · It focuses on problems where the objective function and constraint functions are convex, making optimization more tractable and efficient. Nonlinear ...