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Zhiwei Steven Wu

Carnegie Mellon University (from arXiv:2307.01357, 2023) · ORCID · OpenAlex

20 papers in scope · 17 published · 4 on the econ.EM arXiv · 624 citations · h-index 7 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Keegan Harris
  2. Anish Agarwal
  3. Daniel Ngo
  4. Justin Whitehouse
  5. Chara Podimata
  6. Dennis Shen
  7. Devavrat Shah
  8. Muhummad Amjad
  9. Vasilis Syrgkanis
  10. Muhammad Jehangir Amjad
  11. Shahin Boluki
  12. Ravi Kumar
  13. Jonas Rauch
  14. Darius Walczak
  15. K. Isler
  16. Jingwen Zhang
  17. Yifang Chen
  18. Vishal Misra
  19. Abhineet Agarwal
  20. Zhaomeng Chen

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(4 of 20)

Time-uniform self-normalized concentration for vector-valued processes
published2026 · The Annals of Applied Probability
with Justin Whitehouse, Aaditya Ramdas
The Annals of Applied Probability
Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks
published2025 · Proceedings of the ACM on Human-Computer Interaction · 2 citations
with Luke Guerdan, Devansh Saxena, Stevie Chancellor, Kenneth Holstein
Proceedings of the ACM on Human-Computer Interaction
Competing Bandits: The Perils of Exploration Under Competition
published2025 · ACM Transactions on Economics and Computation · 7 citations · first circulated 2020
with Guy Aridor, Yishay Mansour, Aleksandrs Slivkins
ACM Transactions on Economics and Computation
Study on Rapid Simulation of the Pre-Cooling Process of a Large LNG Storage Tank with the Consideration of Digital Twin Requirements
published2024 · Energies · 3 citations
with Yunfei Zhao, Caifu Qian, Guangzhi Shi, Mu Li, Zaoyang Qiu, Baohe Zhang
Energies
Strategyproof Decision-Making in Panel Data Settings and Beyond
published2024 · ACM SIGMETRICS Performance Evaluation Review · 1 citations · first circulated 2022
with Keegan Harris, Anish Agarwal, Chara Podimata, Anish K. Agarwal
Paper profile ACM SIGMETRICS Performance Evaluation Review arXiv:2211.14236
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
working paper2023 · arXiv
with Daniel Ngo, Keegan Harris, Anish K. Agarwal, Vasilis Syrgkanis
Paper profile arXiv arXiv:2312.16307
Adaptive Principal Component Regression with Applications to Panel Data
working paper2023 · arXiv · 1 citations
with Anish K. Agarwal, Keegan Harris, Justin Whitehouse
Paper profile arXiv arXiv:2307.01357
Response to comment on “Policy impacts of statistical uncertainty and privacy”
published2023 · Science · 1 citations
with Ryan Steed, Alessandro Acquisti, Terrance Liu
Science
Greedy Algorithm Almost Dominates in Smoothed Contextual Bandits
published2023 · SIAM Journal on Computing · 10 citations · first circulated 2020
with Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan
SIAM Journal on Computing
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms
published2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 3 citations · first circulated 2020
with Zheyuan Ryan Shi, Rayid Ghani, Fei Fang
Proceedings of the AAAI Conference on Artificial Intelligence
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
published2022 · 2022 ACM Conference on Fairness, Accountability, and Transparency · 93 citations
with Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Kenneth Holstein, Haiyi Zhu
2022 ACM Conference on Fairness, Accountability, and Transparency
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
published2022 · 2022 ACM Conference on Fairness, Accountability, and Transparency · 73 citations
with Logan Stapleton, Min Hun Lee, Diana Qing, M. R. Wright, Alexandra Chouldechova, Ken Holstein, Haiyi Zhu
2022 ACM Conference on Fairness, Accountability, and Transparency
Data acquisition and management of wind farm using edge computing
published2022 · International Journal of Grid and Utility Computing · 2 citations
with Xin Cao, Yifei Xu, Xiaoliang Qin, Fang Ye
International Journal of Grid and Utility Computing
Bayesian Exploration: Incentivizing Exploration in Bayesian Games
published2021 · Operations Research · 40 citations · first circulated 2016
with Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis
Operations Research
Private Hypothesis Selection
published2021 · IEEE Transactions on Information Theory · 7 citations
with Mark Bun, Gautam Kamath, Thomas Steinke
IEEE Transactions on Information Theory
Locally Private Hypothesis Selection
published2020 · Conference on Learning Theory · 7 citations
with Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Huanyu Zhang
Conference on Learning Theory
Orthogonal Random Forest for Causal Inference
working paper2018 · arXiv · 31 citations
with Miruna Oprescu, Vasilis Syrgkanis
Paper profile arXiv arXiv:1806.03467
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
published2017 · International Conference on Machine Learning · 306 citations
with Michael Kearns, Seth Neel, Aaron Roth
International Conference on Machine Learning
Meritocratic fairness for cross-population selection
published2017 · International Conference on Machine Learning · 37 citations
with Michael Kearns, Aaron Roth
no link
Predicting with Distributions
published2016 · Conference on Learning Theory
with Michael Kearns
Conference on Learning Theory

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.