Chuan He

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerated stochastic first-order method for convex optimization under heavy-tailed noise. CoRR Chuan He, Zhaosong Lu
2025	J	`jnl`	Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise. CoRR Chuan He, Zhaosong Lu, Defeng Sun, Zhanwang Deng
2025	J	`jnl`	Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training. CoRR Chuan He, Zhanwang Deng, Zhaosong Lu
2025	J	`jnl`	Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications. J. Mach. Learn. Res. Chuan He, Zhanwang Deng
2024	J	`jnl`	A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. Comput. Optim. Appl. Chuan He, Heng Huang, Zhaosong Lu
2024	J	`jnl`	Stochastic interior-point methods for smooth conic optimization with applications. CoRR Chuan He, Zhanwang Deng
2023	J	`jnl`	A Newton-CG Based Augmented Lagrangian Method for Finding a Second-Order Stationary Point of Nonconvex Equality Constrained Optimization with Complexity Guarantees. SIAM J. Optim. Chuan He, Zhaosong Lu, Ting Kei Pong
2023	J	`jnl`	A Newton-CG Based Barrier Method for Finding a Second-Order Stationary Point of Nonconvex Conic Optimization with Complexity Guarantees. SIAM J. Optim. Chuan He, Zhaosong Lu
2023	J	`jnl`	A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees. CoRR Chuan He, Zhaosong Lu, Ting Kei Pong
2023	J	`jnl`	A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. CoRR Chuan He, Heng Huang, Zhaosong Lu
2023	J	`jnl`	A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition. J. Mach. Learn. Res. Masaru Ito, Zhaosong Lu, Chuan He
2023	J	`jnl`	Newton-CG methods for nonconvex unconstrained optimization with Hölder continuous Hessian. CoRR Chuan He, Zhaosong Lu
2022	J	`jnl`	A Newton-CG based barrier method for finding a second-order stationary point of nonconvex conic optimization with complexity guarantees. CoRR Chuan He, Zhaosong Lu