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I'm fortunate to work with these talented students:

• Yuanhe Zhang (Warwick PhD): statistical learning theory, deep learning theory

• Zhenyu Zhu (EPFL MSc -> EPFL PhD): deep learning theory (master thesis, intern project, PhD projects)

• Yihang Chen (EPFL MSc -> UCLA PhD): kernel methods, deep learning theory (master thesis/intern project)

• Yongtao Wu (KTH MSc -> EPFL PhD): deep learning theory and applications (master thesis, intern project, PhD projects)

• Elias Abad Rocamora (UPC BSc -> UC3M MSc -> EPFL PhD): trustworthy machine learning (bachelor/master thesis, PhD projects)

• Zhan Li (EPFL MSc -> Ant Group): LLMs (semester project)

• Edmund Hofflin (EPFL MSc -> Oxford PhD): statistical learning theory (master thesis)

• Zachary Jones (KU Leuven MSc -> CMAP PhD): random Fourier features (master thesis)