Guanghui Lan
8 papers · 2017–2022 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (5)
π
Academic Marathon
(5)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(8)
π
Trend Setter
π
Conference Pioneer
Conferences
ICLR (2)
ICML (2)
NIPS (2)
AISTATS (1)
UAI (1)
Top co-authors
Keywords
nonconvex optimization
(3)
cubic regularization
(2)
second-order stationary point
(2)
online learning
(1)
policy optimization
(1)
convex optimization
(1)
natural policy gradient
(1)
constrained optimization
(1)
constraint satisfaction
(1)
variance reduction
(1)
sparse optimization
(1)
complexity analysis
(1)
accelerated gradient
(1)
second-order optimization
(1)
projection-free optimization
(1)
linear convergence
(1)
safe reinforcement learning
(1)
regret bound
(1)
convergence guarantee
(1)
convergence rate
(1)
Papers
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
ICLR 2022
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
ICML 2021
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
NIPS 2020
GLAD: Learning Sparse Graph Recovery
ICLR 2020
Cubic Regularization with Momentum for Nonconvex Optimization
UAI 2019
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization
AISTATS 2019
A unified variance-reduced accelerated gradient method for convex optimization
NIPS 2019
Conditional Accelerated Lazy Stochastic Gradient Descent
ICML 2017