Yiqiao Zhong

Interpolation Phase Transition in Neural Networks: Memorization and Generalization under NT model

• Invited talk at Annual Allerton Conference 2023, “Learning and Estimation in High Dimensions” session, Sep 2023

• Invited talk at EcoSta conference 2023, Aug 2023

• Invited talk at Research School of Finance, Actuarial Studies and Statistics, Australian National University, Sep 2022.

• Invited talk at IST colloquium, Stanford University, Sep 2021; Wilks Statistics Seminar, Princeton University, Oct 2021; Neyman Statistics Seminar, UC Berkeley, Oct 2021.

Spectral Methods and Nonconvex Optimization: A Modern Statistical Perspective

• Invited talk at Statistics Department, Harvard University, MA, March 2019.

• Same talk at DPMMS, University of Cambridge, UK, Jan 2019.

Near-optimal bounds for phase synchronization

• Invited talk at SIAM Annual Meeting, Portland, OR, July 2018.

• Poster presentation at Bridging Mathematical Optimization, Information Theory, and Data Science, Princeton, May 2018.

• Invited talk at IDeAS seminar, The Program in Applied and Computational Mathematics, Princeton University, May 2017.

Spectral algorithm without trimming or cleaning works for exact recovery in SBM

• Invited talk at Joint Mathematics Meetings, San Diego, Jan 2018.

• Poster presentation at UCLA Workshop on Deep Learning Techniques, Los Angeles, Feb 2018.

eigenvector perturbation and robust covariance estimation

• Poster Presentation at Workshop on Networks, Random Graphs and Statistics, Columbia University, May 2016