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