Jeremiah Birrell

4 papers · 2022–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

ICLR (1) ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Luc Rey-Bellet (3) Markos Katsoulakis (2) Paul Dupuis (2) Yannis Pantazis (2) Rouzbeh Behnia (1) Jason Pacheco (1) Markos A. Katsoulakis (1) Wei Zhu (1) Reza Ebrahimi (1)

Research topics

Machine Learning (4) Optimization & Theory (3) Deep Learning (2) Application Areas (2) Computer Vision (1) Mathematics & Optimization (1) Architectures (1) Bayesian & Probabilistic (1) Generation (1) Learning Types (1) Mathematics (1) Models (1) Optimization (1)

Keywords

generative adversarial network (3) variational representation (3) integral probability metric (2) renyi divergence (1) divergence estimation (1) privacy amplification (1) mini-batch sampling (1) renyi differential privacy (1) mode collapse (1) worst-case regret (1) group symmetry (1) wasserstein distance (1) sample fidelity (1) stochastic gradient descent (1) optimal transport (1)

Papers

Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement NeurIPS 2024 Function-space regularized Rényi divergences ICLR 2023 (f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics JMLR 2022 Structure-preserving GANs ICML 2022