24 results on '"Po-Ling Loh"'
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2. The Sample Complexity of Simple Binary Hypothesis Testing.
3. On the Gibbs Exponential Mechanism and Private Synthetic Data Generation.
4. Simple Binary Hypothesis Testing under Communication Constraints.
5. Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints.
6. Adversarial Influence Maximization.
7. Mean estimation for entangled single-sample distributions.
8. Does Data Augmentation Lead to Positive Margin?
9. Graph-Based Ascent Algorithms for Function Maximization.
10. Generalization Error Bounds for Noisy, Iterative Algorithms.
11. Online Learning with Graph-Structured Feedback against Adaptive Adversaries.
12. Information and estimation in Fokker-Planck channels.
13. Computing and maximizing influence in linear threshold and triggering models.
14. Collection, exploration and analysis of crowdfunding social networks.
15. Recovering communities in weighted stochastic block models.
16. On model misspecification and KL separation for Gaussian graphical models.
17. Concavity of reweighted Kikuchi approximation.
18. Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima.
19. Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates.
20. Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses.
21. Corrupted and missing predictors: Minimax bounds for high-dimensional linear regression.
22. High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity.
23. The robustness of stochastic switching networks.
24. Conference on Learning Theory, 2-5 July 2022, London, UK.
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