Steven Wu
41 papers · 2020–2026 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 18 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.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Steven Wu?
7 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 Giuseppe Vietri, Dung Daniel T Ngo, Terrance Liu
13 papers
· 2020–2025
· ICML, UAI, EMNLP
Hide ▲
Multi-group Uncertainty Quantification for Long-form Text Generation
UAI 2025
Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles
EMNLP 2025
Membership Inference Attacks on Diffusion Models via Quantile Regression
ICML 2024
Generating Private Synthetic Data with Genetic Algorithms
ICML 2023
Meta-Learning in Games
ICLR 2023
Improved Regret for Differentially Private Exploration in Linear MDP
ICML 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
ICML 2022
Incentivizing Compliance with Algorithmic Instruments
ICML 2021
Leveraging Public Data for Practical Private Query Release
ICML 2021
New Oracle-Efficient Algorithms for Private Synthetic Data Release
ICML 2020
Oracle Efficient Private Non-Convex Optimization
ICML 2020
Private Query Release Assisted by Public Data
ICML 2020
Private Reinforcement Learning with PAC and Regret Guarantees
ICML 2020
11 papers whose co-authors appear nowhere else under this name
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
ICML 2025
Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
ICML 2025
Reconciling Model Multiplicity for Downstream Decision Making
ICLR 2025
Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
ICLR 2025
Predictive Performance Comparison of Decision Policies Under Confounding
ICML 2024
Reinforcement Learning with Stepwise Fairness Constraints
AISTATS 2023
Constrained Variational Policy Optimization for Safe Reinforcement Learning
ICML 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
ICML 2022
Private Post-GAN Boosting
ICLR 2021
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
ICML 2021
Privately Learning Markov Random Fields
ICML 2020