
Prof. Bin Yu lecture reference list:
Definitions, methods and applications in interpretable Machine Learning Paper: https://www.pnas.org/content/116/44/22071 (PNAS, 2019)
Adaptive Wavelet Distillation (AWD) code https://github.com/Yu-Group/adaptive-wavelets
Paper: https://arxiv.org/abs/2107.09145 (NeurIPS, 2021)
Interpretable ML/DL review paper (including CD, ACD and AWD) https://arxiv.org/abs/2108.06847
Veridical data science (PCS)
Paper: https://www.pnas.org/content/117/8/3920 (PNAS, 2020)
Breiman Lecture video on PCS: https://slideslive.com/38922599/veridical-data-science
Updated slides: https://www.stat.berkeley.edu/~binyu/ps/papers2020/Breiman19-NeurIPS-yu.pdf