Steven Wu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Iterative Methods

Correlated Noise

Differentially Private

Top Venues

Publications

Satyapriya Krishna, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, Himabindu Lakkaraju
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective. Trans. Mach. Learn. Res. 2024 (2024)
Xinwei Zhang, Zhiqi Bu, Steven Wu, Mingyi Hong
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach. ICLR (2024)
Martin Bertran, Shuai Tang, Aaron Roth, Michael Kearns, Jamie Morgenstern, Steven Wu
Scalable Membership Inference Attacks via Quantile Regression. NeurIPS (2023)
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu
Fully-Adaptive Composition in Differential Privacy. ICML (2023)
Terrance Liu, Jingwu Tang, Giuseppe Vietri, Steven Wu
Generating Private Synthetic Data with Genetic Algorithms. ICML (2023)
Zhun Deng, He Sun, Steven Wu, Linjun Zhang, David C. Parkes
Reinforcement Learning with Stepwise Fairness Constraints. AISTATS (2023)
Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm
Meta-Learning in Games. ICLR (2023)
Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. ICML (2022)
Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Steven Wu
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. ICML (2022)
Ken Ziyu Liu, Shengyuan Hu, Steven Wu, Virginia Smith
On Privacy and Personalization in Cross-Silo Federated Learning. NeurIPS (2022)
Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu
Causal Imitation Learning under Temporally Correlated Noise. ICML (2022)
Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu, Jiantao Jiao, Kannan Ramchandran
Minimax Optimal Online Imitation Learning via Replay Estimation. NeurIPS (2022)
Dung Daniel T. Ngo, Giuseppe Vietri, Steven Wu
Improved Regret for Differentially Private Exploration in Linear MDP. ICML (2022)
Terrance Liu, Giuseppe Vietri, Steven Wu
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods. NeurIPS (2021)
Marcel Neunhoeffer, Steven Wu, Cynthia Dwork
Private Post-GAN Boosting. ICLR (2021)
Dung Daniel T. Ngo, Logan Stapleton, Vasilis Syrgkanis, Steven Wu
Incentivizing Compliance with Algorithmic Instruments. ICML (2021)
Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. ICML (2021)