Jessica Sorrell

Orcid: 0000-0001-9227-1032

According to our database1, Jessica Sorrell authored at least 12 papers between 2018 and 2024.

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Bibliography

2024
Oracle-Efficient Reinforcement Learning for Max Value Ensembles.
CoRR, 2024

2023
Stability Is Stable: Connections between Replicability, Privacy, and Adaptive Generalization.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Replicable Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multicalibration as Boosting for Regression.
Proceedings of the International Conference on Machine Learning, 2023

2022
Algorithmic Stability for Responsible Computing
PhD thesis, 2022

Securing Approximate Homomorphic Encryption Using Differential Privacy.
IACR Cryptol. ePrint Arch., 2022

Reproducibility in learning.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

2021
Boosting in the Presence of Massart Noise.
Proceedings of the Conference on Learning Theory, 2021

2020
Simpler Statistically Sender Private Oblivious Transfer from Ideals of Cyclotomic Integers.
IACR Cryptol. ePrint Arch., 2020

Efficient, Noise-Tolerant, and Private Learning via Boosting.
Proceedings of the Conference on Learning Theory, 2020

2018
Ring packing and amortized FHEW bootstrapping.
IACR Cryptol. ePrint Arch., 2018

The Fiat-Shamir Zoo: Relating the Security of Different Signature Variants.
IACR Cryptol. ePrint Arch., 2018


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