Margin-based sampling in high dimensions: When being active is less efficient than staying passive

Alexandru Tifrea, Jacob Clarysse, Fanny Yang. Margin-based sampling in high dimensions: When being active is less efficient than staying passive. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 34222-34262, PMLR, 2023. [doi]

Abstract

Abstract is missing.