Lan, Guanghui

9 publications

TMLR 2026 One-Sided Matrix Completion from Ultra-Sparse Samples Hongyang R. Zhang, Zhenshuo Zhang, Huy Nguyen, Guanghui Lan

ICLR 2022 Frequency-Aware SGD for Efficient Embedding Learning with Provable Benefits Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan

ICML 2021 CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu, Yingbin Liang, Guanghui Lan

NeurIPS 2020 A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization Digvijay Boob, Qi Deng, Guanghui Lan, Yilin Wang

ICLR 2020 GLAD: Learning Sparse Graph Recovery Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinvas Aluru, Han Liu, Le Song

NeurIPS 2019 A Unified Variance-Reduced Accelerated Gradient Method for Convex Optimization Guanghui Lan, Zhize Li, Yi Zhou

UAI 2019 Cubic Regularization with Momentum for Nonconvex Optimization Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan

AISTATS 2019 Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan

ICML 2017 Conditional Accelerated Lazy Stochastic Gradient Descent Guanghui Lan, Sebastian Pokutta, Yi Zhou, Daniel Zink