Wei Jiang

29 papers A* 13Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimizing Unnormalized Statistical Models Through Compositional Optimization.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang
2025 J jnl
Dual Adaptivity: Universal Algorithms for Minimizing the Adaptive Regret of Convex Functions.
CoRR
Lijun Zhang, Wenhao Yang, Guanghui Wang, Wei Jiang, Zhi-Hua Zhou
2025 J jnl
Improved Analysis for Sign-based Methods with Momentum Updates.
CoRR
Wei Jiang, Dingzhi Yu, Sifan Yang, Wenhao Yang, Lijun Zhang
2025 J jnl
Mirror Descent Under Generalized Smoothness.
CoRR
Dingzhi Yu, Wei Jiang, Yuanyu Wan, Lijun Zhang
2025 J jnl
Revisiting Stochastic Multi-Level Compositional Optimization.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Jiang, Sifan Yang, Yibo Wang, Tianbao Yang, Lijun Zhang
2024 A* conf
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions.
NeurIPS
Wei Jiang, Sifan Yang, Yibo Wang, Lijun Zhang
2024 J jnl
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions.
CoRR
Wei Jiang, Sifan Yang, Yibo Wang, Lijun Zhang
2024 J jnl
Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond.
CoRR
Dingzhi Yu, Yunuo Cai, Wei Jiang, Lijun Zhang
2024 A* conf
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond.
ICML
Dingzhi Yu, Yunuo Cai, Wei Jiang, Lijun Zhang
2024 A* conf
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction.
NeurIPS
Wei Jiang, Sifan Yang, Wenhao Yang, Lijun Zhang
2024 J jnl
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction.
CoRR
Wei Jiang, Sifan Yang, Wenhao Yang, Lijun Zhang
2024 A* conf
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees.
AAAI
Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang
2024 A* conf
Online Composite Optimization Between Stochastic and Adversarial Environments.
NeurIPS
Yibo Wang, Sijia Chen, Wei Jiang, Wenhao Yang, Yuanyu Wan, Lijun Zhang
2024 A* conf
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization.
ICML
Wei Jiang, Sifan Yang, Wenhao Yang, Yibo Wang, Yuanyu Wan, Lijun Zhang
2024 J jnl
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization.
CoRR
Wei Jiang, Sifan Yang, Wenhao Yang, Yibo Wang, Yuanyu Wan, Lijun Zhang
2024 A* conf
Small-loss Adaptive Regret for Online Convex Optimization.
ICML
Wenhao Yang, Wei Jiang, Yibo Wang, Ping Yang, Yao Hu, Lijun Zhang
2023 A* conf
Learning Unnormalized Statistical Models via Compositional Optimization.
ICML
Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang
2023 J jnl
Learning Unnormalized Statistical Models via Compositional Optimization.
CoRR
Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang
2023 J jnl
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees.
CoRR
Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang
2022 A* conf
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization.
NeurIPS
Wei Jiang, Gang Li, Yibo Wang, Lijun Zhang, Tianbao Yang
2022 J jnl
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization.
CoRR
Wei Jiang, Gang Li, Yibo Wang, Lijun Zhang, Tianbao Yang
2022 A* conf
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization.
ICML
Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang
2022 J jnl
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization.
CoRR
Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang
2022 A* conf
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor.
NeurIPS
Lijun Zhang, Wei Jiang, Jinfeng Yi, Tianbao Yang
2022 J jnl
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor.
CoRR
Lijun Zhang, Wei Jiang, Jinfeng Yi, Tianbao Yang
2021 A* conf
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions.
NeurIPS
Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou
2021 A* conf
Revisiting Smoothed Online Learning.
NeurIPS
Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang
2021 J jnl
Revisiting Smoothed Online Learning.
CoRR
Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang
2015 — conf
Design and implementation of precise measuring method for the access time of embedded memory.
ASICON
Yuqing Hu, Lijun Zhang, Youzhong Li, Qixiao Zhang, Erliang Li, Wei Jiang