Simon S. Du
University of Washington(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research, Machine Learning and Algorithms, Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques
Most-Cited Works
- Gradient descent finds global minima of deep neural networks(2019)
- → Gradient Descent Provably Optimizes Over-parameterized Neural Networks(2018)418 cited
- On Exact Computation with an Infinitely Wide Neural Net(2019)
- → Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks(2019)261 cited
- On the Power of Over-parametrization in Neural Networks with Quadratic Activation(2018)
- → Understanding the acceleration phenomenon via high-resolution differential equations(2021)122 cited
- → How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks(2020)108 cited
- → Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of\n Spurious Local Minima(2017)101 cited