Talks and Presentations
A Quasistatic Derivation of Optimization Algorithms' Exploration on the Manifold of Minima, AMS 2022 Fall Western Sectional Meeting: upcoming on 10/22/2022
Implicit bias of optimization algorithms for neural networks: static and dynamic perspectives, Math Machine Learning seminar MPI MIS + UCLA, 10/2022
Implicit biases of optimization algorithms for neural networks and their effects on generalization, University of California, Berkeley, 10/2022
Implicit biases of optimization algorithms for neural networks and their effects on generalization, Shanghai Jiao Tong University, 10/2022
Beyond the Quadratic Approximation: the Multiscale Structure of Neural Network Loss Landscapes, Princeton University, 07/2022
Nonlocal Behavior of Neural Network Loss Landscape, ML Foundations seminar, Microsoft research, 05/2022
On the linear stability of SGD and input smoothness of neural networks, Theoretically Inclined Machine Learning (TML) Seminar, University of Ottawa, 02/2022
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games, Optimal transport and Mean field games Seminar, University of South Carolina, 01/2022
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games, Stanford Applied Math Seminar, 01/2022
A qualitative study of the dynamic behavior of adaptive gradient algorithms, Mathematical and Scientific Machine Learning, 08/2021
The Sobolev Regularization Effect of Stochastic Gradient Descent, BAAI Conference, 06/2021
A Qualitative Study of the Dynamic Behavior of Adaptive Gradient Algorithms, symposium on machine learning and dynamical systems, 09/2020
The Slow Deterioration of the Generalization Error of the Random Feature Model, UC Berkeley, 09/2020
The Slow Deterioration of the Generalization Error of the Random Feature Model, MSML 2020, 07/2020
A-priori Estimates of Population Risks for Neural Networks Models, Shanghai Jiao Tong University, 03/2020
A-priori estimates of population risks for neural networks models, Chinese Academy of Sciences, 07/2019
Appropriate function spaces for two-layer neural network and residual network models, Peking University, 06/2019