Zhiwei Steven Wu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2014–2026

Best venue rank

Where they publish

Papers

44 indexed papers, newest first.

Year	Venue	Title	Authors
2026	SP	Generate-then-Verify: Reconstructing Data from Limited Published Statistics.	Terrance Liu, Eileen Xiao, Adam D. Smith, Pratiksha Thaker, Zhiwei Steven Wu
2025	COLT	Orthogonal Causal Calibration (Extended Abstract).	Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis, Bryan Wilder, Zhiwei Steven Wu
2025	COLT	Time-Uniform Self-Normalized Concentration for Vector-Valued Processes (Extended Abstract).	Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas
2025	ICLR	Reconciling Model Multiplicity for Downstream Decision Making.	Ally Yalei Du, Dung Daniel T. Ngo, Zhiwei Steven Wu
2025	WWW	Differentially Private Bayesian Persuasion.	Yuqi Pan, Zhiwei Steven Wu, Haifeng Xu, Shuran Zheng
2025	WWW	Inferentially-Private Private Information.	Shuaiqi Wang, Shuran Zheng, Zinan Lin, Giulia Fanti, Zhiwei Steven Wu
2024	SIGMETRICS	Strategyproof Decision-Making in Panel Data Settings and Beyond.	Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu
2023	ICML	Inverse Reinforcement Learning without Reinforcement Learning.	Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu
2023	ICML	Nonparametric Extensions of Randomized Response for Private Confidence Sets.	Ian Waudby-Smith, Zhiwei Steven Wu, Aaditya Ramdas
2022	AAAI	Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms.	Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang
2022	CHI	How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions.	Hao Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu
2022	CHI	Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support.	Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein
2022	ICML	Information Discrepancy in Strategic Learning.	Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani
2022	ICML	Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning.	Alberto Bietti, Chen-Yu Wei, Miroslav Dudk, John Langford, Zhiwei Steven Wu
2022	ICML	Constrained Variational Policy Optimization for Safe Reinforcement Learning.	Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao
2021	AISTATS	Gaming Helps! Learning from Strategic Interactions in Natural Dynamics.	Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
2021	AISTATS	Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization.	Vikas K. Garg, Adam Tauman Kalai, Katrina Ligett, Zhiwei Steven Wu
2021	CHI	Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems.	Hao Fei Cheng, Logan Stapleton, Ruiqi Wang, Paige Bullock, Alexandra Chouldechova, Zhiwei Steven Wu, Haiyi Zhu
2021	ICML	Leveraging Public Data for Practical Private Query Release.	Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan R. Ullman, Zhiwei Steven Wu
2020	COLT	Locally Private Hypothesis Selection.	Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
2020	ICML	Private Query Release Assisted by Public Data.	Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu
2020	ICML	Oracle Efficient Private Non-Convex Optimization.	Seth Neel, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu
2020	ICML	Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis.	Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee
2020	ICML	Private Reinforcement Learning with PAC and Regret Guarantees.	Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Zhiwei Steven Wu
2020	ICML	New Oracle-Efficient Algorithms for Private Synthetic Data Release.	Giuseppe Vietri, Grace Tian, Mark Bun, Thomas Steinke, Zhiwei Steven Wu
2020	ICML	Privately Learning Markov Random Fields.	Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu
2019	EC	The Perils of Exploration under Competition: A Computational Modeling Approach.	Guy Aridor, Kevin Liu, Aleksandrs Slivkins, Zhiwei Steven Wu
2019	FOCS	How to Use Heuristics for Differential Privacy.	Seth Neel, Aaron Roth, Zhiwei Steven Wu
2019	ICML	Fair Regression: Quantitative Definitions and Reduction-Based Algorithms.	Alekh Agarwal, Miroslav Dudk, Zhiwei Steven Wu
2019	ICML	Orthogonal Random Forest for Causal Inference.	Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu
2019	ICML	Locally Private Bayesian Inference for Count Models.	Aaron Schein, Zhiwei Steven Wu, Alexandra Schofield, Mingyuan Zhou, Hanna M. Wallach
2019	WWW	Bayesian Exploration with Heterogeneous Agents.	Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu
2018	COLT	The Externalities of Exploration and How Data Diversity Helps Exploitation.	Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu
2018	ICML	Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness.	Michael J. Kearns, Seth Neel, Aaron Roth, Zhiwei Steven Wu
2018	ICML	Semiparametric Contextual Bandits.	Akshay Krishnamurthy, Zhiwei Steven Wu, Vasilis Syrgkanis
2017	COLT	Predicting with Distributions.	Michael J. Kearns, Zhiwei Steven Wu
2017	ICML	Meritocratic Fairness for Cross-Population Selection.	Michael J. Kearns, Aaron Roth, Zhiwei Steven Wu
2016	COLT	Adaptive Learning with Robust Generalization Guarantees.	Rachel Cummings, Katrina Ligett, Kobbi Nissim, Aaron Roth, Zhiwei Steven Wu
2016	SODA	Jointly Private Convex Programming.	Justin Hsu, Zhiyi Huang, Aaron Roth, Zhiwei Steven Wu
2016	STOC	Watch and learn: optimizing from revealed preferences feedback.	Aaron Roth, Jonathan R. Ullman, Zhiwei Steven Wu
2016	SAGT	Logarithmic Query Complexity for Approximate Nash Computation in Large Games.	Paul W. Goldberg, Francisco J. Marmolejo Cosso, Zhiwei Steven Wu
2015	SODA	Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy).	Sampath Kannan, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu
2014	ICML	Dual Query: Practical Private Query Release for High Dimensional Data.	Marco Gaboardi, Emilio Jess Gallego Arias, Justin Hsu, Aaron Roth, Zhiwei Steven Wu
2014	STOC	Private matchings and allocations.	Justin Hsu, Zhiyi Huang, Aaron Roth, Tim Roughgarden, Zhiwei Steven Wu