Research Documents

I am fortunate to have received guidance from Professor Wenquan Cui, and I will always be grateful to him. Here are my recordings of study progress.

• Week01(12.5-12.10)：[note, Chinese]Basic Generalization Theory and Bootstrap
• Week02(12.11-12.17)：[note, Chinese]Double Descent
• Week03(12.18-12.24)：[note, Chinese]Double Descent
• Week04(12.25-12.31)：[note, Chinese]Ridgeless least squares
• Week05(1.15-1.21)：[note, Chinese]Ridgeless least squares
• Winter Vacation(2024.1.22-2.25)：[note, Chinese]RKHS, SGD, MCMC and Langevin Dynamicas
• 2024 spring semester week1-2(2.26-3.10)：[note, Chinese]SGLD
• 2024 spring semester week3-6(3.11-4.8)：[note, Chinese]Stats. view of DL, Interpolation and Kernel Machines
• 2024 spring semester week7-10(4.9-5.5)：[note, Chinese]Kernel Machines
• 2024 spring semester week11-12(5.6-5.19)：[note, Chinese]EigenPro
• 2024 spring semester week13-14(5.20-6.2)：[talk, English]Bounds of Kernel Machines
• Talk：[talk, English]Lazy Training and Neural Tangent Kernel
• Coming talk: Physics in Theoretical Machine Learning. I plan to give several talks on Ising Models, Mean Field Asymptotics and Approximate Message Passing Algorithms. I am still learning!
• Talk：[talk, English]Non-asymptotic and Asymptotic viewpoint of LASSO
• Coming talk: AGOP: Mechanisms of Feature Learning. I am still learning!