Ziegel, Johanna; Ginsbourger, David; Dümbgen, Lutz Characteristic kernels on Hilbert spaces, Banach spaces, and on sets of measures. (English) Zbl 07824109 Bernoulli 30, No. 2, 1441-1457 (2024). MSC: 62R40 62G07 68T05 46E22 PDFBibTeX XMLCite \textit{J. Ziegel} et al., Bernoulli 30, No. 2, 1441--1457 (2024; Zbl 07824109) Full Text: DOI arXiv Link
Mao, Yuan; Guo, Zheng-Chu Online regularized learning algorithm for functional data. (English) Zbl 07820042 J. Complexity 82, Article ID 101825, 30 p. (2024). MSC: 68T05 62G08 68P01 46E22 PDFBibTeX XMLCite \textit{Y. Mao} and \textit{Z.-C. Guo}, J. Complexity 82, Article ID 101825, 30 p. (2024; Zbl 07820042) Full Text: DOI arXiv
Benth, Fred Espen; Detering, Nils; Galimberti, Luca Pricing options on flow forwards by neural networks in a Hilbert space. (English) Zbl 07782839 Finance Stoch. 28, No. 1, 81-121 (2024). MSC: 91G20 60H15 68T07 46E20 PDFBibTeX XMLCite \textit{F. E. Benth} et al., Finance Stoch. 28, No. 1, 81--121 (2024; Zbl 07782839) Full Text: DOI arXiv
Tong, Hongzhi; Ng, Michael Spectral algorithms for learning with dependent observations. (English) Zbl 07750615 J. Comput. Appl. Math. 437, Article ID 115437, 13 p. (2024). MSC: 68T05 62H30 62G08 46E22 62H25 PDFBibTeX XMLCite \textit{H. Tong} and \textit{M. Ng}, J. Comput. Appl. Math. 437, Article ID 115437, 13 p. (2024; Zbl 07750615) Full Text: DOI
Jorgensen, Palle E. T.; Song, Myung-Sin; Tian, James Infinite-dimensional stochastic transforms and reproducing kernel Hilbert space. (English) Zbl 07739023 Sampl. Theory Signal Process. Data Anal. 21, No. 1, Paper No. 12, 27 p. (2023). MSC: 47B32 41A15 41A65 42A82 42C15 46E22 47A05 47N10 60G15 62H25 68T07 81S05 90C20 94A08 94A12 94A20 PDFBibTeX XMLCite \textit{P. E. T. Jorgensen} et al., Sampl. Theory Signal Process. Data Anal. 21, No. 1, Paper No. 12, 27 p. (2023; Zbl 07739023) Full Text: DOI arXiv
Neumayer, Sebastian; Unser, Michael Explicit representations for Banach subspaces of Lizorkin distributions. (English) Zbl 07735744 Anal. Appl., Singap. 21, No. 5, 1223-1250 (2023). MSC: 46F05 46A11 47A52 49J27 54B15 65D07 68T05 PDFBibTeX XMLCite \textit{S. Neumayer} and \textit{M. Unser}, Anal. Appl., Singap. 21, No. 5, 1223--1250 (2023; Zbl 07735744) Full Text: DOI arXiv
Tan, Hong Ye; Mukherjee, Subhadip; Tang, Junqi; Schönlieb, Carola-Bibiane Data-driven mirror descent with input-convex neural networks. (English) Zbl 07726193 SIAM J. Math. Data Sci. 5, No. 2, 558-587 (2023). MSC: 68T05 46N10 65K10 65G50 PDFBibTeX XMLCite \textit{H. Y. Tan} et al., SIAM J. Math. Data Sci. 5, No. 2, 558--587 (2023; Zbl 07726193) Full Text: DOI arXiv
Aziznejad, Shayan; Campos, Joaquim; Unser, Michael Measuring complexity of learning schemes using Hessian-Schatten total variation. (English) Zbl 07726188 SIAM J. Math. Data Sci. 5, No. 2, 422-445 (2023). MSC: 26B30 46E27 68T05 68Q32 PDFBibTeX XMLCite \textit{S. Aziznejad} et al., SIAM J. Math. Data Sci. 5, No. 2, 422--445 (2023; Zbl 07726188) Full Text: DOI arXiv
He, Xuqing; Sun, Hongwei Error analysis of classification learning algorithms based on LUMs loss. (English) Zbl 1527.68178 Math. Found. Comput. 6, No. 4, 616-624 (2023). MSC: 68T05 46E22 62H30 PDFBibTeX XMLCite \textit{X. He} and \textit{H. Sun}, Math. Found. Comput. 6, No. 4, 616--624 (2023; Zbl 1527.68178) Full Text: DOI
Caragea, Andrei; Petersen, Philipp; Voigtlaender, Felix Neural network approximation and estimation of classifiers with classification boundary in a Barron class. (English) Zbl 07720498 Ann. Appl. Probab. 33, No. 4, 3039-3079 (2023). MSC: 68T07 41A25 41A46 42B35 46E15 PDFBibTeX XMLCite \textit{A. Caragea} et al., Ann. Appl. Probab. 33, No. 4, 3039--3079 (2023; Zbl 07720498) Full Text: DOI arXiv Link
Xu, Yuesheng Sparse machine learning in Banach spaces. (English) Zbl 07705768 Appl. Numer. Math. 187, 138-157 (2023). MSC: 68Txx 46Exx 41Axx PDFBibTeX XMLCite \textit{Y. Xu}, Appl. Numer. Math. 187, 138--157 (2023; Zbl 07705768) Full Text: DOI
Siegel, Jonathan W.; Xu, Jinchao Characterization of the variation spaces corresponding to shallow neural networks. (English) Zbl 07698579 Constr. Approx. 57, No. 3, 1109-1132 (2023). MSC: 68T05 46B99 PDFBibTeX XMLCite \textit{J. W. Siegel} and \textit{J. Xu}, Constr. Approx. 57, No. 3, 1109--1132 (2023; Zbl 07698579) Full Text: DOI arXiv
Watts, Adam Bene; Helton, J. William 3XOR games with perfect commuting operator strategies have perfect tensor product strategies and are decidable in polynomial time. (English) Zbl 1522.81060 Commun. Math. Phys. 400, No. 2, 731-791 (2023). MSC: 81P68 81P65 68Q12 68T20 46L07 20F55 PDFBibTeX XMLCite \textit{A. B. Watts} and \textit{J. W. Helton}, Commun. Math. Phys. 400, No. 2, 731--791 (2023; Zbl 1522.81060) Full Text: DOI arXiv
Grohs, Philipp; Voigtlaender, Felix Sobolev-type embeddings for neural network approximation spaces. (English) Zbl 07680071 Constr. Approx. 57, No. 2, 579-599 (2023). MSC: 41A63 41A30 46E30 46E35 65D05 68T07 PDFBibTeX XMLCite \textit{P. Grohs} and \textit{F. Voigtlaender}, Constr. Approx. 57, No. 2, 579--599 (2023; Zbl 07680071) Full Text: DOI arXiv
Collins, Benoît; Hayase, Tomohiro Asymptotic freeness of layerwise Jacobians caused by invariance of multilayer perceptron: the Haar orthogonal case. (English) Zbl 1521.46027 Commun. Math. Phys. 397, No. 1, 85-109 (2023). MSC: 46L54 60B20 68T07 PDFBibTeX XMLCite \textit{B. Collins} and \textit{T. Hayase}, Commun. Math. Phys. 397, No. 1, 85--109 (2023; Zbl 1521.46027) Full Text: DOI arXiv
Karvonen, Toni Small sample spaces for Gaussian processes. (English) Zbl 07666803 Bernoulli 29, No. 2, 875-900 (2023). MSC: 60G15 46E22 68T05 PDFBibTeX XMLCite \textit{T. Karvonen}, Bernoulli 29, No. 2, 875--900 (2023; Zbl 07666803) Full Text: DOI arXiv Link
Molteni, Riccardo; Destri, Claudio; Prati, Enrico Optimization of the memory reset rate of a quantum echo-state network for time sequential tasks. (English) Zbl 1520.81040 Phys. Lett., A 465, Article ID 128713, 9 p. (2023). MSC: 81P68 68T05 68Q12 68P20 51F15 46T25 94B70 PDFBibTeX XMLCite \textit{R. Molteni} et al., Phys. Lett., A 465, Article ID 128713, 9 p. (2023; Zbl 1520.81040) Full Text: DOI arXiv
Zhang, Wenhui; Ye, Peixin; Xing, Shuo Optimality of the rescaled pure greedy learning algorithms. (English) Zbl 1506.68101 Int. J. Wavelets Multiresolut. Inf. Process. 21, No. 2, Article ID 2250048, 22 p. (2023). MSC: 68T05 46N30 62J02 PDFBibTeX XMLCite \textit{W. Zhang} et al., Int. J. Wavelets Multiresolut. Inf. Process. 21, No. 2, Article ID 2250048, 22 p. (2023; Zbl 1506.68101) Full Text: DOI
Benth, Fred Espen; Detering, Nils; Galimberti, Luca Neural networks in Fréchet spaces. (English) Zbl 07644143 Ann. Math. Artif. Intell. 91, No. 1, 75-103 (2023). MSC: 68T07 46T99 PDFBibTeX XMLCite \textit{F. E. Benth} et al., Ann. Math. Artif. Intell. 91, No. 1, 75--103 (2023; Zbl 07644143) Full Text: DOI arXiv
Bartolucci, Francesca; De Vito, Ernesto; Rosasco, Lorenzo; Vigogna, Stefano Understanding neural networks with reproducing kernel Banach spaces. (English) Zbl 1511.46015 Appl. Comput. Harmon. Anal. 62, 194-236 (2023). MSC: 46E22 68T07 PDFBibTeX XMLCite \textit{F. Bartolucci} et al., Appl. Comput. Harmon. Anal. 62, 194--236 (2023; Zbl 1511.46015) Full Text: DOI arXiv
Katsikis, Vasilios N.; Mourtas, Spyridon D.; Stanimirović, Predrag S.; Li, Shuai; Cao, Xinwei Time-varying minimum-cost portfolio insurance problem via an adaptive fuzzy-power LVI-PDNN. (English) Zbl 1511.91128 Appl. Math. Comput. 441, Article ID 127700, 10 p. (2023). MSC: 91G10 90C59 46N10 68T07 90C05 90C34 PDFBibTeX XMLCite \textit{V. N. Katsikis} et al., Appl. Math. Comput. 441, Article ID 127700, 10 p. (2023; Zbl 1511.91128) Full Text: DOI
Abdeljawad, Ahmed; Dittrich, Thomas Space-Time Approximation with Shallow Neural Networks in Fourier Lebesgue spaces. arXiv:2312.08461 Preprint, arXiv:2312.08461 [cs.LG] (2023). MSC: 41A25 41A46 41A30 46E35 62M45 68T05 BibTeX Cite \textit{A. Abdeljawad} and \textit{T. Dittrich}, ``Space-Time Approximation with Shallow Neural Networks in Fourier Lebesgue spaces'', Preprint, arXiv:2312.08461 [cs.LG] (2023) Full Text: arXiv OA License
Ismayilova, Aysu; Ismailov, Vugar On the Kolmogorov neural networks. arXiv:2311.00049 Preprint, arXiv:2311.00049 [cs.NE] (2023). MSC: 46A22 46E10 46N60 68T05 92B20 BibTeX Cite \textit{A. Ismayilova} and \textit{V. Ismailov}, ``On the Kolmogorov neural networks'', Preprint, arXiv:2311.00049 [cs.NE] (2023) Full Text: arXiv OA License
Fornasier, Massimo; Heid, Pascal; Sodini, Giacomo Enrico Approximation Theory, Computing, and Deep Learning on the Wasserstein Space. arXiv:2310.19548 Preprint, arXiv:2310.19548 [math.OC] (2023). MSC: 49Q22 33F05 46E36 28A33 68T07 BibTeX Cite \textit{M. Fornasier} et al., ``Approximation Theory, Computing, and Deep Learning on the Wasserstein Space'', Preprint, arXiv:2310.19548 [math.OC] (2023) Full Text: arXiv OA License
van Nuland, Teun D. H. Noncompact uniform universal approximation. arXiv:2308.03812 Preprint, arXiv:2308.03812 [cs.LG] (2023). MSC: 68T07 46N10 26B40 BibTeX Cite \textit{T. D. H. van Nuland}, ``Noncompact uniform universal approximation'', Preprint, arXiv:2308.03812 [cs.LG] (2023) Full Text: DOI arXiv OA License
Kleikamp, Hendrik; Lazar, Martin; Molinari, Cesare Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems. arXiv:2307.15590 Preprint, arXiv:2307.15590 [math.OC] (2023). MSC: 49N10 68T07 46E22 62J02 BibTeX Cite \textit{H. Kleikamp} et al., ``Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems'', Preprint, arXiv:2307.15590 [math.OC] (2023) Full Text: arXiv OA License
Otto, Samuel E.; Macchio, Gregory R.; Rowley, Clarence W. Learning Nonlinear Projections for Reduced-Order Modeling of Dynamical Systems using Constrained Autoencoders. arXiv:2307.15288 Preprint, arXiv:2307.15288 [math.DS] (2023). MSC: 68T07 34A34 34C20 49Q12 53Z30 53Z50 14M15 65K10 46N10 37C86 BibTeX Cite \textit{S. E. Otto} et al., ``Learning Nonlinear Projections for Reduced-Order Modeling of Dynamical Systems using Constrained Autoencoders'', Preprint, arXiv:2307.15288 [math.DS] (2023) Full Text: arXiv OA License
Wind, Johan S.; Antun, Vegard; Hansen, Anders C. Implicit regularization in AI meets generalized hardness of approximation in optimization – Sharp results for diagonal linear networks. arXiv:2307.07410 Preprint, arXiv:2307.07410 [cs.LG] (2023). MSC: 90C25 68T07 90C17 15A29 94A08 46N10 BibTeX Cite \textit{J. S. Wind} et al., ``Implicit regularization in AI meets generalized hardness of approximation in optimization -- Sharp results for diagonal linear networks'', Preprint, arXiv:2307.07410 [cs.LG] (2023) Full Text: arXiv OA License
Cuchiero, Christa; Schmocker, Philipp; Teichmann, Josef Global universal approximation of functional input maps on weighted spaces. arXiv:2306.03303 Preprint, arXiv:2306.03303 [stat.ML] (2023). MSC: 26A16 26E20 41A65 41A81 46E40 60L10 68T07 BibTeX Cite \textit{C. Cuchiero} et al., ``Global universal approximation of functional input maps on weighted spaces'', Preprint, arXiv:2306.03303 [stat.ML] (2023) Full Text: arXiv OA License
Kratsios, Anastasis; Liu, Chong; Lassas, Matti; de Hoop, Maarten V.; Dokmanić, Ivan An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning. arXiv:2304.12231 Preprint, arXiv:2304.12231 [cs.LG] (2023). MSC: 41A65 68T07 60L50 65N21 46T99 BibTeX Cite \textit{A. Kratsios} et al., ``An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning'', Preprint, arXiv:2304.12231 [cs.LG] (2023) Full Text: arXiv OA License
Gallos, Ioannis K.; Lehmberg, Daniel; Dietrich, Felix; Siettos, Constantinos Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator. arXiv:2304.11925 Preprint, arXiv:2304.11925 [math.NA] (2023). MSC: 65P99 46T10 37N30 68T05 37M10 BibTeX Cite \textit{I. K. Gallos} et al., ``Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator'', Preprint, arXiv:2304.11925 [math.NA] (2023) Full Text: arXiv OA License
Gheondea, Aurelian; Tilki, Cankat Localisation of Regularised and Multiview Support Vector Machine Learning. arXiv:2304.05655 Preprint, arXiv:2304.05655 [math.FA] (2023). MSC: 68T05 46E22 46G05 BibTeX Cite \textit{A. Gheondea} and \textit{C. Tilki}, ``Localisation of Regularised and Multiview Support Vector Machine Learning'', Preprint, arXiv:2304.05655 [math.FA] (2023) Full Text: arXiv OA License
Damelin, S. B. Whitney extensions and orthonormal expansions. arXiv:2302.08045 Preprint, arXiv:2302.08045 [math.CA] (2023). MSC: 46T20 26B05 42B35 68T45 41A50 41A05 14Q15 15A72 05C38 30E10 33D50 BibTeX Cite \textit{S. B. Damelin}, ``Whitney extensions and orthonormal expansions'', Preprint, arXiv:2302.08045 [math.CA] (2023) Full Text: arXiv OA License
Gess, Benjamin; Kassing, Sebastian; Konarovskyi, Vitalii Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent. arXiv:2302.07125 Preprint, arXiv:2302.07125 [math.PR] (2023). MSC: 60J05 60H15 68T07 60G46 60G57 46G05 BibTeX Cite \textit{B. Gess} et al., ``Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent'', Preprint, arXiv:2302.07125 [math.PR] (2023) Full Text: arXiv OA License
Jorgensen, Palle E. T.; Song, Myung-Sin; Tian, James Operator theory, kernels, and Feedforward Neural Networks. arXiv:2301.01327 Preprint, arXiv:2301.01327 [cs.LG] (2023). MSC: 41A30 46E22 47B32 68T07 92B20 BibTeX Cite \textit{P. E. T. Jorgensen} et al., ``Operator theory, kernels, and Feedforward Neural Networks'', Preprint, arXiv:2301.01327 [cs.LG] (2023) Full Text: arXiv OA License
Liang, Tengyuan; Tran-Bach, Hai Mehler’s formula, branching process, and compositional kernels of deep neural networks. (English) Zbl 1506.68108 J. Am. Stat. Assoc. 117, No. 539, 1324-1337 (2022). MSC: 68T07 46E22 60J85 PDFBibTeX XMLCite \textit{T. Liang} and \textit{H. Tran-Bach}, J. Am. Stat. Assoc. 117, No. 539, 1324--1337 (2022; Zbl 1506.68108) Full Text: DOI arXiv
Korolev, Yury Two-layer neural networks with values in a Banach space. (English) Zbl 07632464 SIAM J. Math. Anal. 54, No. 6, 6358-6389 (2022). MSC: 68Q32 68T07 46E40 41A65 65J22 PDFBibTeX XMLCite \textit{Y. Korolev}, SIAM J. Math. Anal. 54, No. 6, 6358--6389 (2022; Zbl 07632464) Full Text: DOI arXiv
Pei, Eddie; Fokoué, Ernest On some similarities and differences between deep neural networks and kernel learning machines. (English) Zbl 1524.68325 Math. Appl., Brno 11, No. 1, 75-106 (2022). MSC: 68T07 46E22 68T05 PDFBibTeX XMLCite \textit{E. Pei} and \textit{E. Fokoué}, Math. Appl., Brno 11, No. 1, 75--106 (2022; Zbl 1524.68325) Full Text: DOI
Arbi, Adnène; Tahri, Najeh New results on time scales of pseudo Weyl almost periodic solution of delayed QVSICNNs. (English) Zbl 1513.34368 Comput. Appl. Math. 41, No. 6, Paper No. 293, 22 p. (2022). MSC: 34N05 46S05 68T07 39A24 PDFBibTeX XMLCite \textit{A. Arbi} and \textit{N. Tahri}, Comput. Appl. Math. 41, No. 6, Paper No. 293, 22 p. (2022; Zbl 1513.34368) Full Text: DOI
Clempner, Julio B. A Lyapunov approach for stable reinforcement learning. (English) Zbl 1524.90333 Comput. Appl. Math. 41, No. 6, Paper No. 279, 15 p. (2022). MSC: 90C40 60J20 65C40 68T07 46N10 PDFBibTeX XMLCite \textit{J. B. Clempner}, Comput. Appl. Math. 41, No. 6, Paper No. 279, 15 p. (2022; Zbl 1524.90333) Full Text: DOI
Lin, Rong Rong; Zhang, Hai Zhang; Zhang, Jun On reproducing kernel Banach spaces: generic definitions and unified framework of constructions. (English) Zbl 1505.46025 Acta Math. Sin., Engl. Ser. 38, No. 8, 1459-1483 (2022). MSC: 46E15 46E22 68T05 PDFBibTeX XMLCite \textit{R. R. Lin} et al., Acta Math. Sin., Engl. Ser. 38, No. 8, 1459--1483 (2022; Zbl 1505.46025) Full Text: DOI arXiv
Foucart, Simon; Liao, Chunyang; Shahrampour, Shahin; Wang, Yinsong Learning from non-random data in Hilbert spaces: an optimal recovery perspective. (English) Zbl 1498.46078 Sampl. Theory Signal Process. Data Anal. 20, No. 1, Paper No. 5, 19 p. (2022). MSC: 46N40 90C22 90C47 68T05 PDFBibTeX XMLCite \textit{S. Foucart} et al., Sampl. Theory Signal Process. Data Anal. 20, No. 1, Paper No. 5, 19 p. (2022; Zbl 1498.46078) Full Text: DOI arXiv
Song, Hong-fei; Zhang, Jun; Zhang, Hao Utilizing adaptive boosting to detect quantum steerability. (English) Zbl 1496.81037 Int. J. Theor. Phys. 61, No. 4, Paper No. 116, 14 p. (2022). MSC: 81P40 81P18 46L07 68T05 68M20 PDFBibTeX XMLCite \textit{H.-f. Song} et al., Int. J. Theor. Phys. 61, No. 4, Paper No. 116, 14 p. (2022; Zbl 1496.81037) Full Text: DOI
Oslandsbotn, Andreas; Kereta, Željko; Naumova, Valeriya; Freund, Yoav; Cloninger, Alexander StreaMRAK a streaming multi-resolution adaptive kernel algorithm. (English) Zbl 1510.68089 Appl. Math. Comput. 426, Article ID 127112, 23 p. (2022). MSC: 68T05 46E22 62J07 65D15 68W27 PDFBibTeX XMLCite \textit{A. Oslandsbotn} et al., Appl. Math. Comput. 426, Article ID 127112, 23 p. (2022; Zbl 1510.68089) Full Text: DOI arXiv
Suzuki, Joe Kernel methods for machine learning with Math and R. 100 exercises for building logic. (English) Zbl 1486.68004 Singapore: Springer (ISBN 978-981-19-0397-7/pbk; 978-981-19-0398-4/ebook). xii, 196 p. (2022). MSC: 68-01 46E22 60G15 68T05 68T09 PDFBibTeX XMLCite \textit{J. Suzuki}, Kernel methods for machine learning with Math and R. 100 exercises for building logic. Singapore: Springer (2022; Zbl 1486.68004) Full Text: DOI
Suzuki, Joe Kernel methods for machine learning with Math and Python. 100 exercises for building logic. (English) Zbl 1491.68006 Singapore: Springer (ISBN 978-981-19-0400-4/pbk; 978-981-19-0401-1/ebook). xii, 208 p. (2022). MSC: 68-01 46E22 60G15 68T05 68T09 PDFBibTeX XMLCite \textit{J. Suzuki}, Kernel methods for machine learning with Math and Python. 100 exercises for building logic. Singapore: Springer (2022; Zbl 1491.68006) Full Text: DOI
Abdeljawad, Ahmed; Grohs, Philipp Approximations with deep neural networks in Sobolev time-space. (English) Zbl 1489.35007 Anal. Appl., Singap. 20, No. 3, 499-541 (2022). MSC: 35A35 41A25 41A46 46E35 68T05 68T07 PDFBibTeX XMLCite \textit{A. Abdeljawad} and \textit{P. Grohs}, Anal. Appl., Singap. 20, No. 3, 499--541 (2022; Zbl 1489.35007) Full Text: DOI arXiv
Li, Long Hin; Zhang, Dan-Bo; Wang, Z. D. Quantum kernels with Gaussian state encoding for machine learning. (English) Zbl 1495.81028 Phys. Lett., A 436, Article ID 128088, 6 p. (2022). MSC: 81P68 68Q09 68T05 81R30 28C20 46C05 PDFBibTeX XMLCite \textit{L. H. Li} et al., Phys. Lett., A 436, Article ID 128088, 6 p. (2022; Zbl 1495.81028) Full Text: DOI
Parhi, Rahul; Nowak, Robert D. What kinds of functions do deep neural networks learn? Insights from variational spline theory. (English) Zbl 07511677 SIAM J. Math. Data Sci. 4, No. 2, 464-489 (2022). MSC: 68T05 82C32 94A12 46E27 47A52 PDFBibTeX XMLCite \textit{R. Parhi} and \textit{R. D. Nowak}, SIAM J. Math. Data Sci. 4, No. 2, 464--489 (2022; Zbl 07511677) Full Text: DOI arXiv
Dietrich, Felix; Yair, Or; Mulayoff, Rotem; Talmon, Ronen; Kevrekidis, Ioannis G. Spectral discovery of jointly smooth features for multimodal data. (English) Zbl 07507774 SIAM J. Math. Data Sci. 4, No. 1, 410-430 (2022). MSC: 68T05 94A12 46N40 47N40 35K08 58C05 PDFBibTeX XMLCite \textit{F. Dietrich} et al., SIAM J. Math. Data Sci. 4, No. 1, 410--430 (2022; Zbl 07507774) Full Text: DOI arXiv
Treanţă, Savin Characterization results of solutions in interval-valued optimization problems with mixed constraints. (English) Zbl 1496.90069 J. Glob. Optim. 82, No. 4, 951-964 (2022). MSC: 90C26 90C30 90C46 26B25 65K10 49K20 46T20 68T37 PDFBibTeX XMLCite \textit{S. Treanţă}, J. Glob. Optim. 82, No. 4, 951--964 (2022; Zbl 1496.90069) Full Text: DOI
Pereverzyev, Sergei An introduction to artificial intelligence based on reproducing kernel Hilbert spaces. (English) Zbl 1500.68004 Compact Textbooks in Mathematics. Cham: Birkhäuser (ISBN 978-3-030-98315-4/pbk; 978-3-030-98316-1/ebook). xiv, 152 p. (2022). Reviewer: Andreas Wichert (Lisboa) MSC: 68-02 46E22 68T05 PDFBibTeX XMLCite \textit{S. Pereverzyev}, An introduction to artificial intelligence based on reproducing kernel Hilbert spaces. Cham: Birkhäuser (2022; Zbl 1500.68004) Full Text: DOI
Chen, Xiaming; Tang, Bohao; Fan, Jun; Guo, Xin Online gradient descent algorithms for functional data learning. (English) Zbl 07502618 J. Complexity 70, Article ID 101635, 14 p. (2022). MSC: 68T05 62G08 62J05 46E22 62G20 PDFBibTeX XMLCite \textit{X. Chen} et al., J. Complexity 70, Article ID 101635, 14 p. (2022; Zbl 07502618) Full Text: DOI
E, Weinan; Wojtowytsch, Stephan Representation formulas and pointwise properties for Barron functions. (English) Zbl 1482.41013 Calc. Var. Partial Differ. Equ. 61, No. 2, Paper No. 46, 37 p. (2022). MSC: 41A30 26B35 26B40 46E15 68T07 PDFBibTeX XMLCite \textit{W. E} and \textit{S. Wojtowytsch}, Calc. Var. Partial Differ. Equ. 61, No. 2, Paper No. 46, 37 p. (2022; Zbl 1482.41013) Full Text: DOI arXiv
Barr, John; Rabitz, Herschel A generalized kernel method for global sensitivity analysis. (English) Zbl 1524.68259 SIAM/ASA J. Uncertain. Quantif. 10, 27-54 (2022). MSC: 68T05 46E22 62E10 62H10 PDFBibTeX XMLCite \textit{J. Barr} and \textit{H. Rabitz}, SIAM/ASA J. Uncertain. Quantif. 10, 27--54 (2022; Zbl 1524.68259) Full Text: DOI
Unser, Michael; Aziznejad, Shayan Convex optimization in sums of Banach spaces. (English) Zbl 1489.46074 Appl. Comput. Harmon. Anal. 56, 1-25 (2022). MSC: 46N10 47A52 65J20 68T05 PDFBibTeX XMLCite \textit{M. Unser} and \textit{S. Aziznejad}, Appl. Comput. Harmon. Anal. 56, 1--25 (2022; Zbl 1489.46074) Full Text: DOI arXiv
Terjék, Dávid; González-Sánchez, Diego A Framework for Overparameterized Learning. arXiv:2205.13507 Preprint, arXiv:2205.13507 [cs.LG] (2022). MSC: 68T07 46N10 90C26 BibTeX Cite \textit{D. Terjék} and \textit{D. González-Sánchez}, ``A Framework for Overparameterized Learning'', Preprint, arXiv:2205.13507 [cs.LG] (2022) Full Text: arXiv OA License
Ahmad, Faraz Compactification of Perception Pairs and Spaces of Group Equivariant non-Expansive Operators. arXiv:2210.04043 Preprint, arXiv:2210.04043 [math.GN] (2022). MSC: 55N31 46E10 68T09 BibTeX Cite \textit{F. Ahmad}, ``Compactification of Perception Pairs and Spaces of Group Equivariant non-Expansive Operators'', Preprint, arXiv:2210.04043 [math.GN] (2022) Full Text: arXiv OA License
Kratsios, Anastasis; Zamanlooy, Behnoosh Do ReLU Networks Have An Edge When Approximating Compactly-Supported Functions? arXiv:2204.11231 Preprint, arXiv:2204.11231 [cs.LG] (2022). MSC: 68T07 41A65 46M40 46M15 BibTeX Cite \textit{A. Kratsios} and \textit{B. Zamanlooy}, ``Do ReLU Networks Have An Edge When Approximating Compactly-Supported Functions?'', Preprint, arXiv:2204.11231 [cs.LG] (2022) Full Text: arXiv OA License
Peri, Daniele Machine Learning Algorithms in Design Optimization. arXiv:2203.11005 Preprint, arXiv:2203.11005 [math.OC] (2022). MSC: 00A69 46N10 65K05 68T05 BibTeX Cite \textit{D. Peri}, ``Machine Learning Algorithms in Design Optimization'', Preprint, arXiv:2203.11005 [math.OC] (2022) Full Text: arXiv OA License
Abdeljawad, Ahmed Deep Neural Network Approximation For Hölder Functions. arXiv:2201.03747 Preprint, arXiv:2201.03747 [cs.LG] (2022). MSC: 68T07 46E35 41A30 46E30 BibTeX Cite \textit{A. Abdeljawad}, ``Deep Neural Network Approximation For H\"older Functions'', Preprint, arXiv:2201.03747 [cs.LG] (2022) Full Text: arXiv OA License
Dou, Xialiang; Liang, Tengyuan Training neural networks as learning data-adaptive kernels: provable representation and approximation benefits. (English) Zbl 1510.68086 J. Am. Stat. Assoc. 116, No. 535, 1507-1520 (2021). MSC: 68T05 46E22 62G05 68W25 90C90 PDFBibTeX XMLCite \textit{X. Dou} and \textit{T. Liang}, J. Am. Stat. Assoc. 116, No. 535, 1507--1520 (2021; Zbl 1510.68086) Full Text: DOI arXiv
Wang, Rui; Xu, Yuesheng Representer theorems in Banach spaces: minimum norm interpolation, regularized learning and semi-discrete inverse problems. (English) Zbl 1507.68261 J. Mach. Learn. Res. 22, Paper No. 225, 65 p. (2021). MSC: 68T05 41A65 46B20 46N10 PDFBibTeX XMLCite \textit{R. Wang} and \textit{Y. Xu}, J. Mach. Learn. Res. 22, Paper No. 225, 65 p. (2021; Zbl 1507.68261) Full Text: arXiv Link
Sheng, Baohuai; Zuo, Lan Error analysis of the kernel regularized regression based on refined convex losses and RKBSs. (English) Zbl 1478.62095 Int. J. Wavelets Multiresolut. Inf. Process. 19, No. 5, Article ID 2150012, 52 p. (2021). MSC: 62G08 46E22 41A25 68T05 PDFBibTeX XMLCite \textit{B. Sheng} and \textit{L. Zuo}, Int. J. Wavelets Multiresolut. Inf. Process. 19, No. 5, Article ID 2150012, 52 p. (2021; Zbl 1478.62095) Full Text: DOI
Chen, Liangzhi; Hotz, Thomas; Zhang, Haizhang Admissible kernels for RKHS embedding of probability distributions. (English) Zbl 1477.60012 Stat. Pap. 62, No. 3, 1499-1518 (2021). MSC: 60A10 46E22 62B10 68T05 PDFBibTeX XMLCite \textit{L. Chen} et al., Stat. Pap. 62, No. 3, 1499--1518 (2021; Zbl 1477.60012) Full Text: DOI
Santin, Gabriele; Haasdonk, Bernard Kernel methods for surrogate modeling. (English) Zbl 07445319 Benner, Peter (ed.) et al., Model order reduction. Volume 1: System- and data-driven methods and algorithms. Berlin: De Gruyter. 311-353 (2021). MSC: 65D05 65D15 46C05 68T05 PDFBibTeX XMLCite \textit{G. Santin} and \textit{B. Haasdonk}, in: Model order reduction. Volume 1: System- and data-driven methods and algorithms. Berlin: De Gruyter. 311--353 (2021; Zbl 07445319) Full Text: DOI arXiv
Gühring, Ingo; Raslan, Mones Approximation rates for neural networks with encodable weights in smoothness spaces. (English) Zbl 1475.68314 Neural Netw. 134, 107-130 (2021). MSC: 68T07 41A25 41A65 46E35 PDFBibTeX XMLCite \textit{I. Gühring} and \textit{M. Raslan}, Neural Netw. 134, 107--130 (2021; Zbl 1475.68314) Full Text: DOI arXiv
Jaffard, Stéphane; Krim, Hamid Regularity properties of Haar frames. (English) Zbl 1479.42084 C. R., Math., Acad. Sci. Paris 359, No. 9, 1107-1117 (2021). Reviewer: Antonio Galbis (Valencia) MSC: 42C15 42B35 42C40 46E35 65T60 68T05 PDFBibTeX XMLCite \textit{S. Jaffard} and \textit{H. Krim}, C. R., Math., Acad. Sci. Paris 359, No. 9, 1107--1117 (2021; Zbl 1479.42084) Full Text: DOI
Hertrich, Johannes; Neumayer, Sebastian; Steidl, Gabriele Convolutional proximal neural networks and plug-and-play algorithms. (English) Zbl 07418878 Linear Algebra Appl. 631, 203-234 (2021). MSC: 68T05 46N10 65K10 94A08 PDFBibTeX XMLCite \textit{J. Hertrich} et al., Linear Algebra Appl. 631, 203--234 (2021; Zbl 07418878) Full Text: DOI arXiv
Unser, Michael A unifying representer theorem for inverse problems and machine learning. (English) Zbl 1479.46088 Found. Comput. Math. 21, No. 4, 941-960 (2021). Reviewer: Sorin-Mihai Grad (Paris) MSC: 46N10 47A52 65J20 68T05 PDFBibTeX XMLCite \textit{M. Unser}, Found. Comput. Math. 21, No. 4, 941--960 (2021; Zbl 1479.46088) Full Text: DOI arXiv
Schlegel, Kevin When is there a representer theorem? Reflexive Banach spaces. (English) Zbl 1507.68254 Adv. Comput. Math. 47, No. 4, Paper No. 54, 26 p. (2021). MSC: 68T05 46E22 46N10 PDFBibTeX XMLCite \textit{K. Schlegel}, Adv. Comput. Math. 47, No. 4, Paper No. 54, 26 p. (2021; Zbl 1507.68254) Full Text: DOI arXiv
Kratsios, Anastasis The universal approximation property. Characterization, construction, representation, and existence. (English) Zbl 1511.41012 Ann. Math. Artif. Intell. 89, No. 5-6, 435-469 (2021). MSC: 41A63 30L05 37B20 46N40 68T07 PDFBibTeX XMLCite \textit{A. Kratsios}, Ann. Math. Artif. Intell. 89, No. 5--6, 435--469 (2021; Zbl 1511.41012) Full Text: DOI arXiv
Parhi, Rahul; Nowak, Robert D. Banach space representer theorems for neural networks and ridge splines. (English) Zbl 1507.68250 J. Mach. Learn. Res. 22, Paper No. 43, 40 p. (2021). MSC: 68T05 41A15 46E22 46N10 PDFBibTeX XMLCite \textit{R. Parhi} and \textit{R. D. Nowak}, J. Mach. Learn. Res. 22, Paper No. 43, 40 p. (2021; Zbl 1507.68250) Full Text: arXiv Link
Aziznejad, Shayan; Unser, Michael Multikernel regression with sparsity constraint. (English) Zbl 1479.46026 SIAM J. Math. Data Sci. 3, No. 1, 201-224 (2021). MSC: 46E22 46E27 47A52 62G08 68T05 PDFBibTeX XMLCite \textit{S. Aziznejad} and \textit{M. Unser}, SIAM J. Math. Data Sci. 3, No. 1, 201--224 (2021; Zbl 1479.46026) Full Text: DOI arXiv
Hu, Ting; Zhou, Ding-Xuan Distributed regularized least squares with flexible Gaussian kernels. (English) Zbl 1515.68265 Appl. Comput. Harmon. Anal. 53, 349-377 (2021). MSC: 68T05 46E22 68W15 PDFBibTeX XMLCite \textit{T. Hu} and \textit{D.-X. Zhou}, Appl. Comput. Harmon. Anal. 53, 349--377 (2021; Zbl 1515.68265) Full Text: DOI
Wang, Baobin; Hu, Ting Unregularized online algorithms with varying Gaussians. (English) Zbl 1464.68321 Constr. Approx. 53, No. 3, 403-440 (2021). MSC: 68T05 41A46 46E22 62J02 68W27 PDFBibTeX XMLCite \textit{B. Wang} and \textit{T. Hu}, Constr. Approx. 53, No. 3, 403--440 (2021; Zbl 1464.68321) Full Text: DOI
Petersen, Philipp; Raslan, Mones; Voigtlaender, Felix Topological properties of the set of functions generated by neural networks of fixed size. (English) Zbl 1516.68082 Found. Comput. Math. 21, No. 2, 375-444 (2021). MSC: 68T05 46B85 54C35 68T07 PDFBibTeX XMLCite \textit{P. Petersen} et al., Found. Comput. Math. 21, No. 2, 375--444 (2021; Zbl 1516.68082) Full Text: DOI arXiv
De Vito, Ernesto; Kereta, Zeljko; Naumova, Valeriya; Rosasco, Lorenzo; Vigogna, Stefano Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel. (English) Zbl 1462.42051 J. Fourier Anal. Appl. 27, No. 2, Paper No. 37, 39 p. (2021). MSC: 42C15 42C40 65T60 46E22 47A52 68T05 PDFBibTeX XMLCite \textit{E. De Vito} et al., J. Fourier Anal. Appl. 27, No. 2, Paper No. 37, 39 p. (2021; Zbl 1462.42051) Full Text: DOI arXiv
Steinwart, Ingo; Ziegel, Johanna F. Strictly proper kernel scores and characteristic kernels on compact spaces. (English) Zbl 1462.62774 Appl. Comput. Harmon. Anal. 51, 510-542 (2021). MSC: 62R40 62G07 62M20 68T05 42A82 46E22 47B34 47G10 62P12 86A08 PDFBibTeX XMLCite \textit{I. Steinwart} and \textit{J. F. Ziegel}, Appl. Comput. Harmon. Anal. 51, 510--542 (2021; Zbl 1462.62774) Full Text: DOI arXiv
Huang, Liren; Liu, Chunguang; Tan, Lulin; Ye, Qi Generalized representer theorems in Banach spaces. (English) Zbl 1462.68156 Anal. Appl., Singap. 19, No. 1, 125-146 (2021). MSC: 68T05 46E22 68T09 PDFBibTeX XMLCite \textit{L. Huang} et al., Anal. Appl., Singap. 19, No. 1, 125--146 (2021; Zbl 1462.68156) Full Text: DOI
Lv, Fusheng; Fan, Jun Optimal learning with Gaussians and correntropy loss. (English) Zbl 1462.68159 Anal. Appl., Singap. 19, No. 1, 107-124 (2021). MSC: 68T05 41A46 46E22 62J02 90C47 PDFBibTeX XMLCite \textit{F. Lv} and \textit{J. Fan}, Anal. Appl., Singap. 19, No. 1, 107--124 (2021; Zbl 1462.68159) Full Text: DOI
Pauwels, Edouard; Putinar, Mihai; Lasserre, Jean-Bernard Data analysis from empirical moments and the Christoffel function. (English) Zbl 1461.62234 Found. Comput. Math. 21, No. 1, 243-273 (2021). MSC: 62R07 62H12 62M15 62G05 62G07 68T05 58C35 42C05 46E22 47B32 PDFBibTeX XMLCite \textit{E. Pauwels} et al., Found. Comput. Math. 21, No. 1, 243--273 (2021; Zbl 1461.62234) Full Text: DOI arXiv
Becker, Simon; Li, Wuchen Quantum statistical learning via quantum Wasserstein natural gradient. (English) Zbl 1460.81008 J. Stat. Phys. 182, No. 1, Paper No. 7, 26 p. (2021). MSC: 81P45 81P50 53B12 81P16 46L05 68T05 PDFBibTeX XMLCite \textit{S. Becker} and \textit{W. Li}, J. Stat. Phys. 182, No. 1, Paper No. 7, 26 p. (2021; Zbl 1460.81008) Full Text: DOI arXiv
Dixit, Anand; Roy, Vivekananda Posterior impropriety of some sparse Bayesian learning models. (English) Zbl 1461.62039 Stat. Probab. Lett. 171, Article ID 109039, 8 p. (2021). MSC: 62F15 62H30 68T05 46E22 PDFBibTeX XMLCite \textit{A. Dixit} and \textit{V. Roy}, Stat. Probab. Lett. 171, Article ID 109039, 8 p. (2021; Zbl 1461.62039) Full Text: DOI arXiv
Lin, Rongrong; Song, Guohui; Zhang, Haizhang Multi-task learning in vector-valued reproducing kernel Banach spaces with the \(\ell^1\) norm. (English) Zbl 1471.68221 J. Complexity 63, Article ID 101514, 27 p. (2021). MSC: 68T05 46E22 PDFBibTeX XMLCite \textit{R. Lin} et al., J. Complexity 63, Article ID 101514, 27 p. (2021; Zbl 1471.68221) Full Text: DOI arXiv
Steinwart, Ingo; Fischer, Simon A closer look at covering number bounds for Gaussian kernels. (English) Zbl 1455.68185 J. Complexity 62, Article ID 101513, 17 p. (2021). MSC: 68T05 46E22 PDFBibTeX XMLCite \textit{I. Steinwart} and \textit{S. Fischer}, J. Complexity 62, Article ID 101513, 17 p. (2021; Zbl 1455.68185) Full Text: DOI arXiv
E, Weinan; Wojtowytsch, Stephan Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels. (English) Zbl 07307666 Res. Math. Sci. 8, No. 1, Paper No. 5, 28 p. (2021). MSC: 68T07 41A30 41A65 46E15 46E22 PDFBibTeX XMLCite \textit{W. E} and \textit{S. Wojtowytsch}, Res. Math. Sci. 8, No. 1, Paper No. 5, 28 p. (2021; Zbl 07307666) Full Text: DOI arXiv
Terjék, Dávid Moreau-Yosida \(f\)-divergences. arXiv:2102.13416 Preprint, arXiv:2102.13416 [cs.LG] (2021). MSC: 68T07 46N10 94A17 BibTeX Cite \textit{D. Terjék}, ``Moreau-Yosida $f$-divergences'', Preprint, arXiv:2102.13416 [cs.LG] (2021) Full Text: arXiv OA License
Kratsios, Anastasis; Papon, Leonie Universal Approximation Theorems for Differentiable Geometric Deep Learning. arXiv:2101.05390 Preprint, arXiv:2101.05390 [cs.LG] (2021). MSC: 68T07 46T99 46T10 54C35 68T45 41A65 BibTeX Cite \textit{A. Kratsios} and \textit{L. Papon}, ``Universal Approximation Theorems for Differentiable Geometric Deep Learning'', Preprint, arXiv:2101.05390 [cs.LG] (2021) Full Text: arXiv OA License
Abdeljawad, Ahmed; Grohs, Philipp Integral representations of shallow neural network with Rectified Power Unit activation function. arXiv:2112.11157 Preprint, arXiv:2112.11157 [cs.NE] (2021). MSC: 68T07 26B40 46E30 BibTeX Cite \textit{A. Abdeljawad} and \textit{P. Grohs}, ``Integral representations of shallow neural network with Rectified Power Unit activation function'', Preprint, arXiv:2112.11157 [cs.NE] (2021) Full Text: arXiv OA License
Jorgensen, Palle E. T.; Song, Myung-Sin; Tian, James Positive Definite Kernels, Algorithms, Frames, and Approximations. arXiv:2104.11807 Preprint, arXiv:2104.11807 [math.FA] (2021). MSC: 47B32 41A15 41A65 42A82 42C15 46E22 47A05 47N10 60G15 62H25 68T07 90C20 94A08 94A12 94A20 BibTeX Cite \textit{P. E. T. Jorgensen} et al., ``Positive Definite Kernels, Algorithms, Frames, and Approximations'', Preprint, arXiv:2104.11807 [math.FA] (2021) Full Text: arXiv OA License
Lin, Ying; Lin, Rongrong; Ye, Qi Sparse regularized learning in the reproducing kernel Banach spaces with the \(\ell^1\) norm. (English) Zbl 1486.68157 Math. Found. Comput. 3, No. 3, 205-218 (2020). MSC: 68T05 46E22 62G08 PDFBibTeX XMLCite \textit{Y. Lin} et al., Math. Found. Comput. 3, No. 3, 205--218 (2020; Zbl 1486.68157) Full Text: DOI
Li, Bingzheng; Dai, Zhengzhan Error analysis on regularized regression based on the maximum correntropy criterion. (English) Zbl 1486.68156 Math. Found. Comput. 3, No. 1, 25-40 (2020). MSC: 68T05 46E22 62J02 PDFBibTeX XMLCite \textit{B. Li} and \textit{Z. Dai}, Math. Found. Comput. 3, No. 1, 25--40 (2020; Zbl 1486.68156) Full Text: DOI
Lin, Ying; Ye, Qi Support vector machine classifiers by non-Euclidean margins. (English) Zbl 1485.68222 Math. Found. Comput. 3, No. 4, 279-300 (2020). MSC: 68T05 46E22 62G08 62H30 PDFBibTeX XMLCite \textit{Y. Lin} and \textit{Q. Ye}, Math. Found. Comput. 3, No. 4, 279--300 (2020; Zbl 1485.68222) Full Text: DOI
E, Weinan; Ma, Chao; Wu, Lei The generalization error of the minimum-norm solutions for over-parameterized neural networks. (English) Zbl 1524.68273 Pure Appl. Funct. Anal. 5, No. 6, 1445-1460 (2020). MSC: 68T05 46E22 62J02 PDFBibTeX XMLCite \textit{W. E} et al., Pure Appl. Funct. Anal. 5, No. 6, 1445--1460 (2020; Zbl 1524.68273) Full Text: arXiv Link
Lin, Junhong; Cevher, Volkan Optimal convergence for distributed learning with stochastic gradient methods and spectral algorithms. (English) Zbl 1525.68118 J. Mach. Learn. Res. 21, Paper No. 147, 63 p. (2020). MSC: 68T05 46E22 62G08 68W15 90C15 PDFBibTeX XMLCite \textit{J. Lin} and \textit{V. Cevher}, J. Mach. Learn. Res. 21, Paper No. 147, 63 p. (2020; Zbl 1525.68118) Full Text: arXiv Link
Chen, Kaixuan; Wu, Xiaojun Latent sparse representation classification algorithm based on symmetric positive definite manifold. (Chinese. English summary) Zbl 1463.68045 J. Softw. 31, No. 8, 2530-2542 (2020). MSC: 68T05 46E22 62H30 62R07 62R30 68T10 PDFBibTeX XMLCite \textit{K. Chen} and \textit{X. Wu}, J. Softw. 31, No. 8, 2530--2542 (2020; Zbl 1463.68045) Full Text: DOI
Gühring, Ingo; Kutyniok, Gitta; Petersen, Philipp Error bounds for approximations with deep ReLU neural networks in \(W^{s , p}\) norms. (English) Zbl 1452.41009 Anal. Appl., Singap. 18, No. 5, 803-859 (2020). MSC: 41A25 46E35 65N30 68T05 PDFBibTeX XMLCite \textit{I. Gühring} et al., Anal. Appl., Singap. 18, No. 5, 803--859 (2020; Zbl 1452.41009) Full Text: DOI arXiv
Guo, Xin; Hu, Ting; Wu, Qiang Distributed minimum error entropy algorithms. (English) Zbl 1517.68330 J. Mach. Learn. Res. 21, Paper No. 126, 31 p. (2020). MSC: 68T05 41A35 46E22 68W15 90C90 94A17 PDFBibTeX XMLCite \textit{X. Guo} et al., J. Mach. Learn. Res. 21, Paper No. 126, 31 p. (2020; Zbl 1517.68330) Full Text: Link
Lee, Kuang-Yao; Liu, Tianqi; Li, Bing; Zhao, Hongyu Learning causal networks via additive faithfulness. (English) Zbl 1475.68279 J. Mach. Learn. Res. 21, Paper No. 51, 38 p. (2020). Reviewer: Martin Holeňa (Praha) MSC: 68T05 46E22 62D20 62G05 62H22 PDFBibTeX XMLCite \textit{K.-Y. Lee} et al., J. Mach. Learn. Res. 21, Paper No. 51, 38 p. (2020; Zbl 1475.68279) Full Text: Link