Steven Wu

38 papers A* 26A 2Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap.
CoRR
Shengyuan Hu, Neil Kale, Pratiksha Thaker, Yiwei Fu, Steven Wu, Virginia Smith
2025 — conf
Benchmarking Fraud Detectors on Private Graph Data.
KDD (1)
Alexander Goldberg, Giulia Fanti, Nihar B. Shah, Steven Wu
2025 J jnl
Competing Bandits: The Perils of Exploration Under Competition.
ACM Trans. Economics and Comput.
Guy Aridor, Yishay Mansour, Aleksandrs Slivkins, Steven Wu
2025 A* conf
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage.
ICML
Konstantina Bairaktari, Jiayun Wu, Steven Wu
2025 A* conf
Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models.
ICML
Xiaoyu Wu, Jiaru Zhang, Steven Wu
2025 A conf
Multi-group Uncertainty Quantification for Long-form Text Generation.
UAI
Terrance Liu, Steven Wu
2025 A* conf
Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles.
EMNLP
Kimberly Le Truong, Riccardo Fogliato, Hoda Heidari, Steven Wu
2025 — conf
Predicting Language Models' Success at Zero-Shot Probabilistic Prediction.
EMNLP (Findings)
Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patiño, Ananya Joshi, Ruiqi Lyu, Jingjing Tang, Alistair Turcan, Khurram Yamin, Steven Wu, Bryan Wilder
2025 J jnl
Predicting Language Models' Success at Zero-Shot Probabilistic Prediction.
CoRR
Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patiño, Ananya Joshi, Ruiqi Lyu, Jingjing Tang, Alistair Turcan, Khurram Yamin, Steven Wu, Bryan Wilder
2025 A* conf
Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification.
ICLR
Santiago Cortes-Gomez, Carlos Miguel Patiño, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder
2024 A* conf
A Minimaximalist Approach to Reinforcement Learning from Human Feedback.
ICML
Gokul Swamy, Christoph Dann, Rahul Kidambi, Steven Wu, Alekh Agarwal
2024 A* conf
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift.
NeurIPS
Jiayun Wu, Jiashuo Liu, Peng Cui, Steven Wu
2024 J jnl
Decision-Focused Uncertainty Quantification.
CoRR
Santiago Cortes-Gomez, Carlos Miguel Patiño, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder
2024 A* conf
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach.
ICLR
Xinwei Zhang, Zhiqi Bu, Steven Wu, Mingyi Hong
2024 A* conf
Hybrid Inverse Reinforcement Learning.
ICML
Juntao Ren, Gokul Swamy, Steven Wu, Drew Bagnell, Sanjiban Choudhury
2024 A* conf
Membership Inference Attacks on Diffusion Models via Quantile Regression.
ICML
Shuai Tang, Steven Wu, Sergül Aydöre, Michael Kearns, Aaron Roth
2024 A* conf
Predictive Performance Comparison of Decision Policies Under Confounding.
ICML
Luke Guerdan, Amanda Coston, Ken Holstein, Steven Wu
2024 J jnl
Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data.
CoRR
Xiaoyu Wu, Jiaru Zhang, Steven Wu
2024 J jnl
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective.
Trans. Mach. Learn. Res.
Satyapriya Krishna, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, Himabindu Lakkaraju
2023 A* conf
Fully-Adaptive Composition in Differential Privacy.
ICML
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu
2023 A* conf
Generating Private Synthetic Data with Genetic Algorithms.
ICML
Terrance Liu, Jingwu Tang, Giuseppe Vietri, Steven Wu
2023 A* conf
Meta-Learning in Games.
ICLR
Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm
2023 J jnl
Private Multi-Task Learning: Formulation and Applications to Federated Learning.
Trans. Mach. Learn. Res.
Shengyuan Hu, Steven Wu, Virginia Smith
2023 A conf
Reinforcement Learning with Stepwise Fairness Constraints.
AISTATS
Zhun Deng, He Sun, Steven Wu, Linjun Zhang, David C. Parkes
2023 A* conf
Scalable Membership Inference Attacks via Quantile Regression.
NeurIPS
Martín Bertrán, Shuai Tang, Aaron Roth, Michael Kearns, Jamie Morgenstern, Steven Wu
2022 A* conf
Causal Imitation Learning under Temporally Correlated Noise.
ICML
Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu
2022 A* conf
Improved Regret for Differentially Private Exploration in Linear MDP.
ICML
Dung Daniel T. Ngo, Giuseppe Vietri, Steven Wu
2022 A* conf
Minimax Optimal Online Imitation Learning via Replay Estimation.
NeurIPS
Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu, Jiantao Jiao, Kannan Ramchandran
2022 A* conf
On Privacy and Personalization in Cross-Silo Federated Learning.
NeurIPS
Ken Ziyu Liu, Shengyuan Hu, Steven Wu, Virginia Smith
2022 A* conf
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses.
ICML
Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Steven Wu
2022 J jnl
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective.
CoRR
Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, Himabindu Lakkaraju
2022 A* conf
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy.
ICML
Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi
2021 A* conf
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification.
ICLR
Yingxue Zhou, Steven Wu, Arindam Banerjee
2021 A* conf
Incentivizing Compliance with Algorithmic Instruments.
ICML
Dung Daniel T. Ngo, Logan Stapleton, Vasilis Syrgkanis, Steven Wu
2021 A* conf
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods.
NeurIPS
Terrance Liu, Giuseppe Vietri, Steven Wu
2021 A* conf
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap.
ICML
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu
2021 A* conf
Private Post-GAN Boosting.
ICLR
Marcel Neunhoeffer, Steven Wu, Cynthia Dwork
2021 A* conf
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations.
ICML
Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju