 Differential privacy from axiomsInformation Technology Convergence and Services (ITCS), 2025 |
 A Distributional-Lifting Theorem for PAC LearningAnnual Conference Computational Learning Theory (COLT), 2025 |
 Private List Learnability vs. Online List LearnabilityAnnual Conference Computational Learning Theory (COLT), 2025 |
 Spherical dimensionAnnual Conference Computational Learning Theory (COLT), 2025 |
 Replicable Uniformity TestingNeural Information Processing Systems (NeurIPS), 2024 |
 The Sample Complexity of Smooth Boosting and the Tightness of the
Hardcore TheoremIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2024 |
 Local Borsuk-Ulam, Stability, and ReplicabilitySymposium on the Theory of Computing (STOC), 2023 |
 The Bayesian Stability ZooNeural Information Processing Systems (NeurIPS), 2023 |
 Optimal Guarantees for Algorithmic Reproducibility and Gradient
Complexity in Convex OptimizationNeural Information Processing Systems (NeurIPS), 2023 |
 User-Level Differential Privacy With Few Examples Per UserNeural Information Processing Systems (NeurIPS), 2023 |
 Simple online learning with consistent oracleAnnual Conference Computational Learning Theory (COLT), 2023 |
 Replicability in Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 |
 Replicable Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 |
 Statistical Indistinguishability of Learning AlgorithmsInternational Conference on Machine Learning (ICML), 2023 |
 A Unified Characterization of Private Learnability via Graph TheoryAnnual Conference Computational Learning Theory (COLT), 2023 |
 List and Certificate Complexities in Replicable LearningNeural Information Processing Systems (NeurIPS), 2023 |
 Stability is Stable: Connections between Replicability, Privacy, and
Adaptive GeneralizationSymposium on the Theory of Computing (STOC), 2023 |
 Replicable ClusteringNeural Information Processing Systems (NeurIPS), 2023 |
 Replicable BanditsInternational Conference on Learning Representations (ICLR), 2022 |
 Reproducibility in Optimization: Theoretical Framework and LimitsNeural Information Processing Systems (NeurIPS), 2022 |
