Chi Jin
Princeton University(US)Changzhou University(CN)Shenyang University of Chemical Technology(CN)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques, Advanced Bandit Algorithms Research, Machine Learning and Algorithms
Most-Cited Works
- → Escaping From Saddle Points --- Online Stochastic Gradient for Tensor\n Decomposition(2015)611 cited
- Is Q-learning Provably Efficient?(2018)
- How to escape saddle points efficiently(2017)
- → No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis(2017)221 cited
- → Provably Efficient Reinforcement Learning with Linear Function Approximation(2019)219 cited
- → Forced protein unfolding leads to highly elastic and tough protein hydrogels(2013)182 cited
- Amber 2021: Reference Manual(2021)
- → Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient\n Descent(2017)123 cited