Krishna Pillutla
Orcid: 0000-0002-1262-8466
According to our database1,
Krishna Pillutla
authored at least 21 papers
between 2020 and 2023.
Collaborative distances:
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Bibliography
2023
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning.
CoRR, 2023
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
From Enormous Structured Models to On-device Federated Learning: Robustness, Heterogeneity and Optimization
PhD thesis, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
CoRR, 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral.
CoRR, 2021
CoRR, 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
2020