Statistical Learning
Decision Tree for Locally Private Estimation with Public Data Y uheng Ma
Neural Information Processing Systems
On one hand, the knowledge learned from public data is implicitly transferred into the private model.
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Constant Approximation for Individual Preference Stable Clustering
Neural Information Processing Systems
Individual preference (IP) stability, introduced by Ahmadi et al. (ICML 2022), is a natural clustering objective inspired by stability and fairness constraints.
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- Information Technology > Data Science > Data Mining (0.93)
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Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
Neural Information Processing Systems
We also provide theoretical guarantees in terms of convergence and generalization.
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