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math.ST2023
Minimum -distance estimators for finite mixing measures
Yun Wei, Sayan Mukherjee, XuanLong Nguyen
Finite mixture models have long been used across a variety of fields in engineering and sciences. Recently there has been a great deal of interest in quantifying the convergence be…
cs.LG2023★ 3 cited
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
Jiacheng Zhu, Jielin Qiu, Aritra Guha +4
We propose to study and promote the robustness of a model as per its performance through the interpolation of training data distributions. Specifically, (1) we augment the data by…