Wei Jiang

According to our database, Wei Jiang authored at least 19 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Dual Adaptivity: Universal Algorithms for Minimizing the Adaptive Regret of Convex Functions.

Lijun Zhang, Wenhao Yang, Guanghui Wang, Wei Jiang, Zhi-Hua Zhou

CoRR, August, 2025

Revisiting Stochastic Multi-Level Compositional Optimization.

Wei Jiang, Sifan Yang, Yibo Wang, Tianbao Yang, Lijun Zhang

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Improved Analysis for Sign-based Methods with Momentum Updates.

Wei Jiang, Dingzhi Yu, Sifan Yang, Wenhao Yang, Lijun Zhang

CoRR, July, 2025

Mirror Descent Under Generalized Smoothness.

Dingzhi Yu, Wei Jiang, Yuanyu Wan, Lijun Zhang

CoRR, February, 2025

2024

Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond.

Dingzhi Yu, Yunuo Cai, Wei Jiang, Lijun Zhang

CoRR, 2024

Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction.

Wei Jiang, Sifan Yang, Wenhao Yang, Lijun Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions.

Wei Jiang, Sifan Yang, Yibo Wang, Lijun Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Online Composite Optimization Between Stochastic and Adversarial Environments.

Yibo Wang, Sijia Chen, Wei Jiang, Wenhao Yang, Yuanyu Wan, Lijun Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond.

Dingzhi Yu, Yunuo Cai, Wei Jiang, Lijun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Small-loss Adaptive Regret for Online Convex Optimization.

Wenhao Yang, Wei Jiang, Yibo Wang, Ping Yang, Yao Hu, Lijun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization.

Wei Jiang, Sifan Yang, Wenhao Yang, Yibo Wang, Yuanyu Wan, Lijun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees.

Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Unnormalized Statistical Models via Compositional Optimization.

Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor.

Lijun Zhang, Wei Jiang, Jinfeng Yi, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization.

Wei Jiang, Gang Li, Yibo Wang, Lijun Zhang, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimal Algorithms for Stochastic Multi-Level Compositional Optimization.

Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

2021

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions.

Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting Smoothed Online Learning.

Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2015

Design and implementation of precise measuring method for the access time of embedded memory.

Yuqing Hu, Lijun Zhang, Youzhong Li, Qixiao Zhang, Erliang Li, Wei Jiang

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015