Zijian Liu

21 papers A* 10Journal 11
YearRankTypeTitle / Venue / Authors
2025 A* conf
Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization.
ICML
Zijian Liu, Zhengyuan Zhou
2025 J jnl
Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization.
CoRR
Zijian Liu, Zhengyuan Zhou
2025 A* conf
Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping.
ICLR
Zijian Liu, Zhengyuan Zhou
2024 J jnl
Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping.
CoRR
Zijian Liu, Zhengyuan Zhou
2024 A* conf
On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity.
ICML
Junyi Fan, Yuxuan Han, Zijian Liu, Jian-Feng Cai, Yang Wang, Zhengyuan Zhou
2024 A* conf
On the Last-Iterate Convergence of Shuffling Gradient Methods.
ICML
Zijian Liu, Zhengyuan Zhou
2024 J jnl
On the Last-Iterate Convergence of Shuffling Gradient Methods.
CoRR
Zijian Liu, Zhengyuan Zhou
2024 A* conf
Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods.
ICLR
Zijian Liu, Zhengyuan Zhou
2023 A* conf
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise.
COLT
Zijian Liu, Jiawei Zhang, Zhengyuan Zhou
2023 J jnl
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise.
CoRR
Zijian Liu, Jiawei Zhang, Zhengyuan Zhou
2023 A* conf
High Probability Convergence of Stochastic Gradient Methods.
ICML
Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy L. Nguyen
2023 J jnl
High Probability Convergence of Stochastic Gradient Methods.
CoRR
Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy L. Nguyen
2023 J jnl
Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction.
CoRR
Zijian Liu, Perry Dong, Srikanth Jagabathula, Zhengyuan Zhou
2023 A* conf
On the Convergence of AdaGrad(Norm) on ℝ
ICLR
Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen
2023 J jnl
Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods.
CoRR
Zijian Liu, Zhengyuan Zhou
2023 J jnl
Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises.
CoRR
Zijian Liu, Zhengyuan Zhou
2022 A* conf
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction.
ICML
Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen
2022 J jnl
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction.
CoRR
Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen
2022 A* conf
Distributionally Robust Q-Learning.
ICML
Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou
2022 J jnl
META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for Unbounded Functions.
CoRR
Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy L. Nguyen
2022 J jnl
On the Convergence of AdaGrad on $\R^{d}$: Beyond Convexity, Non-Asymptotic Rate and Acceleration.
CoRR
Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen