Summary of Multi-output Distributional Fairness Via Post-processing, by Gang Li et al.
Multi-Output Distributional Fairness via Post-Processingby Gang Li, Qihang Lin, Ayush Ghosh, Tianbao YangFirst submitted to…
Multi-Output Distributional Fairness via Post-Processingby Gang Li, Qihang Lin, Ayush Ghosh, Tianbao YangFirst submitted to…
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A More Unified Theory of Transfer Learningby Steve Hanneke, Samory KpotufeFirst submitted to arxiv on:…
Implicit Regularization Paths of Weighted Neural Representationsby Jin-Hong Du, Pratik PatilFirst submitted to arxiv on:…
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networksby Nisal Ranasinghe, Yu Xia, Sachith…
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasetsby Assaf Shmuel, Oren…
Evolvable Psychology Informed Neural Network for Memory Behavior Modelingby Xiaoxuan Shen, Zhihai Hu, Qirong Chen,…