Yuanyuan (Chloe) Yang

I am a PhD student at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by Professor Jamie Morgenstern.

My research interest was in the design and analysis of algorithms, particularly algorithmic game theory (EconCS). Along the way, I kept running into the gap between an algorithm’s theoretical guarantees and its actual performance once deployed. That gap drives my recent research interest in algorithm design for efficient ML Systems.

Before coming to UW, I received my B.S. from Shanghai Jiao Tong University, advised by Professor Xiaotie Deng.

news

Jan 26, 2026	T-TAMER has been accepted to ICLR 2026!

selected publications

Submitted

On the Smoothed Complexity of Auto-Bidding Auctions

Li Chen^*, Jamie Morgenstern^*, and Yuanyuan Yang^*

2026

Under Submission

ICLR 2026

T-TAMER: Provably Taming Trade-offs in ML Serving

Yuanyuan Yang, Ruimin Zhang, Jamie Morgenstern, and Haifeng Xu

In International Conference on Learning Representations (ICLR), 2026

arXiv Bib HTML

@inproceedings{YZMX26,
  title = {T-TAMER: Provably Taming Trade-offs in ML Serving},
  author = {Yang, Yuanyuan and Zhang, Ruimin and Morgenstern, Jamie and Xu, Haifeng},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
}

ICLR 2025

Private Mechanism Design via Quantile Estimation

Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar, and Jamie Morgenstern

In International Conference on Learning Representations (ICLR), 2025

Bib HTML

@inproceedings{YXKM25,
  title = {Private Mechanism Design via Quantile Estimation},
  author = {Yang, Yuanyuan and Xiao, Tao and Kumar, Bhuvesh and Morgenstern, Jamie},
  booktitle = {International Conference on Learning Representations (ICLR)},
  pages = {41603--41616},
  year = {2025},
}

ALT 2024

Dueling Optimization With a Monotone Adversary

Avrim Blum^*, Meghal Gupta^*, Gene Li^*, Naren Sarayu Manoj^*, Aadirupa Saha^*, and Yuanyuan Yang^*

In International Conference on Algorithmic Learning Theory (ALT), 2024

Awarded arXiv Bib HTML

Outstanding Paper Award

@inproceedings{BGL+24,
  title = {Dueling Optimization With a Monotone Adversary},
  author = {Blum, Avrim and Gupta, Meghal and Li, Gene and Manoj, Naren Sarayu and Saha, Aadirupa and Yang, Yuanyuan},
  booktitle = {International Conference on Algorithmic Learning Theory (ALT)},
  pages = {221--243},
  year = {2024},
  organization = {PMLR},
}