24 results on '"Steven Wu"'
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2. On the Sublinear Regret of GP-UCB.
3. Strategic Apple Tasting.
4. Meta-Learning Adversarial Bandit Algorithms.
5. Adaptive Privacy Composition for Accuracy-first Mechanisms.
6. Scalable Membership Inference Attacks via Quantile Regression.
7. Adaptive Principal Component Regression with Applications to Panel Data.
8. Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods.
9. Stateful Strategic Regression.
10. Private Synthetic Data for Multitask Learning and Marginal Queries.
11. Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints.
12. Incentivizing Combinatorial Bandit Exploration.
13. Bayesian Persuasion for Algorithmic Recourse.
14. Minimax Optimal Online Imitation Learning via Replay Estimation.
15. Sequence Model Imitation Learning with Unobserved Contexts.
16. On Privacy and Personalization in Cross-Silo Federated Learning.
17. Locally Private Gaussian Estimation.
18. Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond.
19. Private Hypothesis Selection.
20. Equal Opportunity in Online Classification with Partial Feedback.
21. Understanding Gradient Clipping in Private SGD: A Geometric Perspective.
22. Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms.
23. Metric-Free Individual Fairness in Online Learning.
24. A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem.
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