Writings
(α-β) indicates alphabetical order; * indicates equal contribution.
Algorithmic Principles For Multiclass Learning Are Hard To Come By: Limits of Regularization and Proper Learning
[arXiv]
(α-β) Julian Asilis, Shaddin Dughmi, Vatsal Sharan, Alec Sun, Shang-Hua Teng, Chang Wang
Manuscript 2026
The Computable but Not Learnable Information-Value-Free Equilibria and Regulation of Algorithmic Collusion
[arXiv]
(α-β) Jason D. Hartline, Chang Wang, Chenhao Zhang
EC 2026
27th ACM Conference on Economics and Computation. A preliminary poster appeared in the 5th ACM Symposium on Computer Science and Law.
Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret
[arXiv]
[conference article]
(α-β) Jason D. Hartline, Chang Wang, Chenhao Zhang
CS&Law 2025
4th ACM Symposium on Computer Science and Law. A preliminary version appeared in the 2nd Workshop on Regulatable ML @NeurIPS'24.
Dynamic Budget Throttling in Repeated Second-Price Auctions
[arXiv]
[conference article]
Zhaohua Chen*, Chang Wang*, Qian Wang*, Yuqi Pan, Zhuming Shi, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng
AAAI 2024
The 38th Annual AAAI Conference on Artificial Intelligence
Budget-Constrained Auctions with Unassured Priors: Strategic Equivalence and Structural Properties
[arXiv]
[conference article]
Zhaohua Chen, Mingwei Yang, Chang Wang, Jicheng Li, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng
WWW 2024
The 2024 ACM Web Conference
Oral presentation
Contextual Decision-Making with Knapsacks beyond the Worst Case
[arXiv]
[conference article]
Zhaohua Chen, Rui Ai, Mingwei Yang, Yuqi Pan, Chang Wang, Xiaotie Deng
NeurIPS 2024
The 38th Annual Conference on Neural Information Processing Systems