Dongruo Zhou

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research, Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques, Machine Learning and Algorithms

Most-Cited Works

• → Gradient descent optimizes over-parameterized deep ReLU networks(2019)226 cited
• → Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks(2018)216 cited
• → Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks(2018)90 cited
• → On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization(2018)82 cited
• → Neural Contextual Bandits with UCB-based Exploration(2019)59 cited
• → A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks(2020)55 cited
• Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization.(2018)
• → Stochastic Nested Variance Reduction for Nonconvex Optimization(2018)39 cited