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.
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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 Gokul Swamy, Sanjiban Choudhury, Drew Bagnell
6 papers
· 2021–2026
· ICML, ACL
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Gained in Translation: Privileged Pairwise Judges Enhance Multilingual Reasoning
ACL 2026
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
ICML 2024
Hybrid Inverse Reinforcement Learning
ICML 2024
Inverse Reinforcement Learning without Reinforcement Learning
ICML 2023
Causal Imitation Learning under Temporally Correlated Noise
ICML 2022
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
ICML 2021
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