Yibo Wang

According to our database, Yibo Wang authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

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

Revisiting Projection-Free Online Learning with Time-Varying Constraints.

Yibo Wang, Yuanyu Wan, Lijun Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation.

Yibo Wang, Yingchun Jian, Wenhao Yang, Shiyin Lu, Lei Shen, Bing Wang, Xiaoyi Zeng, Lijun Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning.

Wenhao Yang, Yingchun Jian, Yibo Wang, Shiyin Lu, Lei Shen, Bing Wang, Haihong Tang, Lijun Zhang

Proceedings of the ACM on Web Conference 2024, 2024

Projection-Free Bandit Convex Optimization over Strongly Convex Sets.

Chenxu Zhang, Yibo Wang, Peng Tian, Xiao Cheng, Yuanyu Wan, Mingli Song

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Universal Online Convex Optimization with 1 Projection per Round.

Wenhao Yang, Yibo Wang, Peng Zhao, 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

Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees.

Sijia Chen, Yibo Wang, Yi-Feng Wu, Qingguo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, 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

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

High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails.

Langqi Liu, Yibo Wang, 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

Distributed Projection-Free Online Learning for Smooth and Convex Losses.

Yibo Wang, Yuanyu Wan, Shimao Zhang, Lijun Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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