Jason D. Lee
Princeton University(US)Services Australia(AU)University of California, Berkeley(US)
Publications by Year
Research Areas
Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques, Reinforcement Learning in Robotics, Machine Learning and Algorithms, Advanced Bandit Algorithms Research
Most-Cited Works
- → Communication-Efficient Distributed Statistical Inference(2018)430 cited
- Gradient descent finds global minima of deep neural networks(2019)
- → Fully Character-Level Neural Machine Translation without Explicit Segmentation(2017)413 cited
- Gradient Descent Only Converges to Minimizers(2016)
- Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares.(2015)
- → Matrix Completion has No Spurious Local Minimum(2016)186 cited
- → Learning the Structure of Mixed Graphical Models(2014)173 cited
- A kernelized stein discrepancy for goodness-of-fit tests(2016)
- On the Power of Over-parametrization in Neural Networks with Quadratic Activation(2018)