FAC-fed: Federated adaptation for fairness and concept drift aware stream classification Maryam BadarWolfgang NejdlMarco Fisichella OriginalPaper Open access 26 July 2023 Pages: 2761 - 2786
Guest Editorial: Special issue on robust machine learning Ransalu SenanayakeDaniel J. FremontCheng Soon Ong EditorialNotes 09 November 2021 Pages: 2787 - 2789
Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo Vyacheslav KungurtsevAdam CobbBrian Jalaian OriginalPaper 20 June 2023 Pages: 2791 - 2819
Differentiable learning of matricized DNFs and its application to Boolean networks Taisuke SatoKatsumi Inoue OriginalPaper Open access 21 June 2023 Pages: 2821 - 2843
Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains Dai Hai NguyenTetsuya Sakurai OriginalPaper 27 June 2023 Pages: 2845 - 2869
Weighted neural tangent kernel: a generalized and improved network-induced kernel Lei TanShutong WuXiaolin Huang OriginalPaper 20 July 2023 Pages: 2871 - 2901
Generating probabilistic safety guarantees for neural network controllers Sydney M. KatzKyle D. JulianMykel J. Kochenderfer OriginalPaper 19 October 2021 Pages: 2903 - 2931
Diametrical Risk Minimization: theory and computations Matthew D. NortonJohannes O. Royset OriginalPaper 02 September 2021 Pages: 2933 - 2951
MapFlow: latent transition via normalizing flow for unsupervised domain adaptation Hossein AskariYasir LatifHongfu Sun OriginalPaper Open access 12 July 2023 Pages: 2953 - 2974
Unified SVM algorithm based on LS-DC loss Shuisheng ZhouWendi Zhou OriginalPaper 21 July 2021 Pages: 2975 - 3002
Lagrangian objective function leads to improved unforeseen attack generalization Mohammad AzizmalayeriMohammad Hossein Rohban OriginalPaper 20 June 2023 Pages: 3003 - 3031
Also for k-means: more data does not imply better performance Marco LoogJesse H. KrijtheManuele Bicego OriginalPaper Open access 25 July 2023 Pages: 3033 - 3050
