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Steven Wu
Assistant Professor, School of Computer Science, Carnegie Mellon University
Joined
February 2019
Names
Steven Wu
(Preferred)
,
Zhiwei Steven Wu
Emails
****@gmail.com
(Confirmed)
,
****@umn.edu
(Confirmed)
,
****@cmu.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
LinkedIn
Career & Education History
Assistant Professor
School of Computer Science,
Carnegie Mellon University
(cmu.edu)
2020
–
Present
Assistant Professor
University of Minnesota, Minneapolis
(umn.edu)
2018
–
2020
Postdoc
Microsoft Research
(microsoft.com)
2017
–
2018
PhD student
University of Pennsylvania
(upenn.edu)
2012
–
2017
Advisors, Relations & Conflicts
PhD Advisor
Aaron Roth
2012
–
2017
PhD Advisor
Michael Kearns
2012
–
2017
Expertise
Reinforcement Learning
2019
–
Present
Differential Privacy
2012
–
Present
Algorithmic Fairness
2012
–
Present
Algorithmic Economics
2012
–
Present
Online Learning
2012
–
Present
Publications
Memory Adapters Enable Fast, Flexible Knowledge Unlearning in LLMs
Keltin Grimes
,
Kevin Kuo
,
Steven Wu
,
Virginia Smith
,
Marissa Catherine Connor
ICML MemFM 2026 Workshop Oral
Readers:
Everyone
When Rubrics Backfire: Systematic Preference Drift in LLM Judges
Ruomeng Ding
,
Yifei Pang
,
He Sun
,
Yizhong Wang
,
Steven Wu
,
Zhun Deng
ICLR 2026 Workshop ICBINB
Readers:
Everyone
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
Dung Daniel Ngo
,
Keegan Harris
,
Anish Agarwal
,
Vasilis Syrgkanis
,
Steven Wu
Accepted by TMLR
Readers:
Everyone
Membership Inference Attacks for Unseen Classes
Pratiksha Thaker
,
Neil Kale
,
Steven Wu
,
Virginia Smith
Submitted to ICLR 2026
Readers:
Everyone
Optimizing Canaries for Privacy Auditing with Metagradient Descent
Matteo Boglioni
,
Terrance Liu
,
Andrew Ilyas
,
Steven Wu
ICLR 2026 Poster
Readers:
Everyone
BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap
Shengyuan Hu
,
Neil Kale
,
Pratiksha Thaker
,
Yiwei Fu
,
Steven Wu
,
Virginia Smith
Submitted to ICLR 2026
Readers:
Everyone
Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
Maria Florina Balcan
,
Martino Bernasconi
,
Matteo Castiglioni
,
Andrea Celli
,
Keegan Harris
,
Steven Wu
ICLR 2026 Poster
Readers:
Everyone
Persuasive Prediction via Decision Calibration
Jingwu Tang
,
Jiahao Zhang
,
Fei Fang
,
Steven Wu
Submitted to ICLR 2026
Readers:
Everyone
Dimension-Free Decision Calibration for Nonlinear Loss Functions
Jingwu Tang
,
Jiayun Wu
,
Steven Wu
,
Jiahao Zhang
ICLR 2026 Poster
Readers:
Everyone
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning
Gokul Swamy
,
Sanjiban Choudhury
,
Wen Sun
,
Steven Wu
,
Drew Bagnell
ICLR 2026 Poster
Readers:
Everyone
View all 177 publications
Co-Authors
Aaditya Ramdas
Aaron Roth
Aaron Schein
Abhishek Shetty
Adam Block
Adam Kalai
Akshay Krishnamurthy
Albert Cheu
Alekh Agarwal
Aleksandar Nikolov
Aleksandrs Slivkins
Alex Gu
Alexandra Chouldechova
Alexandra Schofield
Ally Yalei Du
Amanda Lee Coston
Ameet Talwalkar
Amrith Setlur
Andrea Celli
Andrew Ilyas
Anish Agarwal
Ankit Siva
Arindam Banerjee
Beyza Ermis
Bo Waggoner
View all 197 co-authors