Zhiwei Steven Wu
22 papers · 2014–2026 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 32% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Zhiwei Steven Wu?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Aaron Roth, Michael Kearns, Sampath Kannan
7 papers
· 2014–2024
· ICML, NeurIPS, COLT
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Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
NeurIPS 2024
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
NeurIPS 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
ICML 2018
Meritocratic Fairness for Cross-Population Selection
ICML 2017
Predicting with Distributions
COLT 2017
Adaptive Learning with Robust Generalization Guarantees
COLT 2016
Dual Query: Practical Private Query Release for High Dimensional Data
ICML 2014
9 papers whose co-authors appear nowhere else under this name
Improving the Convergence of Private Shuffled Gradient Methods with Public Data
UAI 2026
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
NeurIPS 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
NeurIPS 2024
Oracle-Efficient Differentially Private Learning with Public Data
NeurIPS 2024
Regret Minimization in Stackelberg Games with Side Information
NeurIPS 2024
Locally Private Hypothesis Selection
COLT 2020
Fair Regression: Quantitative Definitions and Reduction-Based Algorithms
ICML 2019
Locally Private Bayesian Inference for Count Models
ICML 2019
The Externalities of Exploration and How Data Diversity Helps Exploitation
COLT 2018