Jeremiah Birrell

26 papers A* 3Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences.
CoRR
Jeremiah Birrell, Xiaoxi Shen
2025 — conf
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models.
SP (Workshops)
Kasra Ahmadi, Rouzbeh Behnia, Reza Ebrahimi, Mehran Mozaffari Kermani, Jeremiah Birrell, Jason Pacheco, Attila A. Yavuz
2025 J jnl
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models.
CoRR
Kasra Ahmadi, Rouzbeh Behnia, Reza Ebrahimi, Mehran Mozaffari Kermani, Jeremiah Birrell, Jason Pacheco, Attila A. Yavuz
2025 J jnl
Concentration Inequalities for the Stochastic Optimization of Unbounded Objectives with Application to Denoising Score Matching.
CoRR
Jeremiah Birrell
2025 J jnl
Learning to Forget with Information Divergence Reweighted Objectives for Noisy Labels.
CoRR
Jeremiah Birrell, Reza Ebrahimi
2025 J jnl
Local Differential Privacy for Federated Learning with Fixed Memory Usage and Per-Client Privacy.
CoRR
Rouzbeh Behnia, Jeremiah Birrell, Arman Riasi, Reza Ebrahimi, Kaushik Dutta, Thang Hoang
2025 J jnl
Optimal Transport Regularized Divergences: Application to Adversarial Robustness.
SIAM J. Math. Data Sci.
Jeremiah Birrell, Reza Ebrahimi
2025 J jnl
Statistical Error Bounds for GANs with Nonlinear Objective Functionals.
Trans. Mach. Learn. Res.
Jeremiah Birrell
2024 J jnl
Concentration Inequalities for (f,Ɣ)-GANs.
CoRR
Jeremiah Birrell
2024 A* conf
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement.
NeurIPS
Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco
2024 J jnl
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement.
CoRR
Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco
2024 J jnl
Nonlinear denoising score matching for enhanced learning of structured distributions.
CoRR
Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang, Wei Zhu
2023 J jnl
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences.
CoRR
Jeremiah Birrell, Reza Ebrahimi
2023 A* conf
Function-space regularized Rényi divergences.
ICLR
Jeremiah Birrell, Yannis Pantazis, Paul Dupuis, Luc Rey-Bellet, Markos A. Katsoulakis
2022 J jnl
(f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics.
J. Mach. Learn. Res.
Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Luc Rey-Bellet
2022 J jnl
Function-space regularized Rényi divergences.
CoRR
Jeremiah Birrell, Yannis Pantazis, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet
2022 J jnl
Optimizing Variational Representations of Divergences and Accelerating Their Statistical Estimation.
IEEE Trans. Inf. Theory
Jeremiah Birrell, Markos A. Katsoulakis, Yannis Pantazis
2022 A* conf
Structure-preserving GANs.
ICML
Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2022 J jnl
Structure-preserving GANs.
CoRR
Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2021 J jnl
Variational Representations and Neural Network Estimation of Rényi Divergences.
SIAM J. Math. Data Sci.
Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang
2020 J jnl
(f, Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics.
CoRR
Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Luc Rey-Bellet
2020 J jnl
A Variational Formula for Rényi Divergences.
CoRR
Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang
2020 J jnl
Optimizing variational representations of divergences and accelerating their statistical estimation.
CoRR
Jeremiah Birrell, Markos A. Katsoulakis, Yannis Pantazis
2020 J jnl
Uncertainty Quantification for Markov Processes via Variational Principles and Functional Inequalities.
SIAM/ASA J. Uncertain. Quantification
Jeremiah Birrell, Luc Rey-Bellet
2019 J jnl
Robustness of Dynamical Quantities of Interest via Goal-Oriented Information Theory.
CoRR
Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet
2015 J jnl
Boltzmann equation solver adapted to emergent chemical non-equilibrium.
J. Comput. Phys.
Jeremiah Birrell, Jon Wilkening, Johann Rafelski