06932nam 22009735 450 991102407490332120250423102733.03-11-137774-13-11-137677-X(CKB)38111332500041(DE-B1597)671422(DE-B1597)9783111376776(MiAaPQ)EBC32077222(Au-PeEL)EBL32077222(EXLCZ)993811133250004120250423h20252025 fg engur|||||||||||txtrdacontentcrdamediacrrdacarrierMathematical Optimization for Machine Learning Proceedings of the MATH+ Thematic Einstein Semester 2023 /ed. by Martin Weiser, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Konstantin Fackeldey1st ed.Berlin ;Boston : De Gruyter, [2025]20251 online resource (X, 202 p.)De Gruyter Proceedings in Mathematics ,2942-48013-11-137585-4 Frontmatter -- Preface -- Acknowledgment -- Contents -- A framework to solve inverse problems for parametric PDEs using adaptive finite elements and neural networks -- Generation of value function data for bilevel optimal control and application to hybrid electric vehicle -- Graph neural networks to predict strokes from blood flow simulations -- Capturing the macroscopic behavior of molecular dynamics with membership functions -- Adaptive gradient-enhanced Gaussian process surrogates for inverse problems -- Multifidelity domain decomposition-based physics-informed neural networks and operators for time-dependent problems -- Constrained piecewise linear optimization by an active signature method -- Parallel trust-region approaches in neural network training -- Trustworthy optimization learning: a brief overview -- Compression-aware training of neural networks using Frank–Wolfe -- Approximation of generalized frequency response functions via vector fitting -- On the nonsmooth regularity condition LIKQ for different abs-normal representations -- Divergence of the ADAM algorithm with fixed-stepsize: a (very) simple example -- IndexMathematical optimization and machine learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal control, first-order methods, multilevel optimization, machine learning in optimization, physics-informed learning, and fairness in machine learning.De Gruyter Proceedings in Mathematics SeriesMATHEMATICS / OptimizationbisacshMathematical optimization, Machine learning, Nonlinear optimization, Discrete optimization, Physics informed learning.MATHEMATICS / Optimization.Baumgärtner Lukas, ctbhttps://id.loc.gov/vocabulary/relators/ctbBeecroft Damien, ctbhttps://id.loc.gov/vocabulary/relators/ctbBethke Franz, ctbhttps://id.loc.gov/vocabulary/relators/ctbCaboussat Alexandre, ctbhttps://id.loc.gov/vocabulary/relators/ctbCarlucci Antonio, ctbhttps://id.loc.gov/vocabulary/relators/ctbChewle Surahit, ctbhttps://id.loc.gov/vocabulary/relators/ctbCots Olivier, ctbhttps://id.loc.gov/vocabulary/relators/ctbCruz Alegría Samuel A., ctbhttps://id.loc.gov/vocabulary/relators/ctbDutto Rémy, ctbhttps://id.loc.gov/vocabulary/relators/ctbFackeldey Konstantin, edthttp://id.loc.gov/vocabulary/relators/edtGauger Nicolas R., ctbhttps://id.loc.gov/vocabulary/relators/ctbGirardin Maude, ctbhttps://id.loc.gov/vocabulary/relators/ctbGosea Ion Victor, ctbhttps://id.loc.gov/vocabulary/relators/ctbGriewank Andreasctbhttps://id.loc.gov/vocabulary/relators/ctbGrivet-Talocia Stefano, ctbhttps://id.loc.gov/vocabulary/relators/ctbHeinlein Alexander, ctbhttps://id.loc.gov/vocabulary/relators/ctbHoward Amanda A., ctbhttps://id.loc.gov/vocabulary/relators/ctbJan Sophie, ctbhttps://id.loc.gov/vocabulary/relators/ctbKannan Aswin, edthttp://id.loc.gov/vocabulary/relators/edtKopaničáková Alena, ctbhttps://id.loc.gov/vocabulary/relators/ctbKrause Rolfctbhttps://id.loc.gov/vocabulary/relators/ctbKreimeier Timo, ctbhttps://id.loc.gov/vocabulary/relators/ctbLaporte Serge, ctbhttps://id.loc.gov/vocabulary/relators/ctbPicasso Marco, ctbhttps://id.loc.gov/vocabulary/relators/ctbPochampalli Rohit, ctbhttps://id.loc.gov/vocabulary/relators/ctbPokutta Sebastian, ctbhttps://id.loc.gov/vocabulary/relators/ctbPokutta Sebastian, edthttp://id.loc.gov/vocabulary/relators/edtRabben Robert Julian, ctbhttps://id.loc.gov/vocabulary/relators/ctbSemler Phillip, ctbhttps://id.loc.gov/vocabulary/relators/ctbSharma Kartikey, edthttp://id.loc.gov/vocabulary/relators/edtShyshkanova Ganna, ctbhttps://id.loc.gov/vocabulary/relators/ctbSikorski Alexander, ctbhttps://id.loc.gov/vocabulary/relators/ctbSpiegel Christoph, ctbhttps://id.loc.gov/vocabulary/relators/ctbStinis Panos, ctbhttps://id.loc.gov/vocabulary/relators/ctbToint Ph. L(Philippe L.),ctbhttps://id.loc.gov/vocabulary/relators/ctbTrotti Ken, ctbhttps://id.loc.gov/vocabulary/relators/ctbVan Hentenryck Pascalctbhttps://id.loc.gov/vocabulary/relators/ctbWalter Danieledthttp://id.loc.gov/vocabulary/relators/edtWalther Andrea, ctbhttps://id.loc.gov/vocabulary/relators/ctbWalther Andrea, edthttp://id.loc.gov/vocabulary/relators/edtWeber Marcusctbhttps://id.loc.gov/vocabulary/relators/ctbWeiser Martinctbhttps://id.loc.gov/vocabulary/relators/ctbWeiser Martin, edthttp://id.loc.gov/vocabulary/relators/edtZimmer Maxctbhttps://id.loc.gov/vocabulary/relators/ctbDE-B1597DE-B1597BOOK9911024074903321Mathematical Optimization for Machine Learning4376465UNINA