[59] G. Boracchi, C. Cervellera, and D. Maccio. Uniform histograms for change detection in multivariate data. In Proceedings of the 30th International Joint Conference on Neural Networks, pages 1732-1739, Brisbane, Australia, 2017.
[60] A.-J. Liu, J. Lu, and G.-Q. Zhang. Concept drift detection via equal intensity k-means space partitioning. IEEE Transactions on Cybernetics, 51(6):3198-3211, 2021.
[61] G. V. Kass. An exploratory technique for investigating large quantities of categorical data. Journal of the Royal Statistical Society: Series C, 29(2):119-127, 1980.
[62] J. R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, 1986.
[63] J. H. Friedman. A recursive partitioning decision rule for nonparametric classification. IEEE Transactions on Computers, 26(4):404-408, 1977.
[64] J. R. Quinlan. Simplifying decision trees. International Journal of Man-machine Studies, 27(3): 221-234, 1987.
[65] S. B. Gelfand, CS Ravishankar, and E. J. Delp. An iterative growing and pruning algorithm for classification tree design. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pages 818-823, Cambridge, MA, 1989.
[66] L. Rokach and O. Maimon. Top-down induction of decision trees classifiers-a survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 35(4):476-487, 2005.
[67] B. Duan, A. Ramdas, and L. A. Wasserman. Familywise error rate control by interactive unmasking. In Proceedings of the 37th International Conference on Machine Learning, pages 2720-2729, Virtual, 2020.
[68] G. S. Mudholkar and D. K Srivastava. A class of robust stepwise alternatives to hotelling's t 2 tests. Journal of Applied Statistics, 27(5):599-619, 2000.
[69] Y. Hochberg and A. C. Tamhane. Multiple Comparison Procedures. John Wiley & Sons, Inc., 1987.
[70] S. Holm. A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2):65-70, 1979.
[71] F. Bretz, W. Maurer, W. Brannath, and M. Posch. A graphical approach to sequentially rejective multiple test procedures. Statistics in Medicine, 28(4):586-604, 2009.
[72] A. C. Tamhane and J. Gou. Advances in p-value based multiple test procedures. Journal of Biopharmaceutical Statistics, 28(1):10-27, 2018.
[73] B. Duan, A. Ramdas, and L. Wasserman. Interactive rank testing by betting. In Proceedings of the 1st Conference on Causal Learning and Reasoning, pages 201-235, Eureka, Canada, 2022.
[74] W. Li, G. Dasarathy, K. N. Ramamurthy, and V. Berisha. A label efficient two-sample test. In Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, pages 1168-1177, Eindhoven, Netherlands, 2022.
[75] A. Schrab, I. Kim, B. Guedj, and A. Gretton. Efficient aggregated kernel tests using incomplete  $u$ -statistics. In Advances in Neural Information Processing Systems 35, pages 18793-18807. Curran Associates, Dutchess, NY, 2022.
[76] F. Liu, W. Xu, J. Lu, and D. J. Sutherland. Meta two-sample testing: Learning kernels for testing with limited data. In Advances in Neural Information Processing Systems 34, pages 5848-5860. Curran Associates, Dutchess, NY, 2021.
[77] F. Cazáis and A. Lheritier. Beyond two-sample-tests: Localizing data discrepancies in high-dimensional spaces. In Proceedings of the IEEE International Conference on Data Science and Advanced Analytics, pages 1-10, Paris, France, 2015.