Austern, Morgane

7 publications

AISTATS 2025 Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks Suqi Liu, Morgane Austern

COLT 2025 Universality of High-Dimensional Logistic Regression and a Novel CGMT Under Dependence with Applications to Data Augmentation Matthew Esmaili Mallory, Kevin Han Huang, Morgane Austern

JMLR 2023 Asymptotics of Network Embeddings Learned via Subsampling Andrew Davison, Morgane Austern

NeurIPS 2022 Debiased Machine Learning Without Sample-Splitting for Stable Estimators Qizhao Chen, Vasilis Syrgkanis, Morgane Austern

NeurIPS 2021 Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection Morgane Austern, Vasilis Syrgkanis

AISTATS 2019 Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data Victor Veitch, Morgane Austern, Wenda Zhou, David M. Blei, Peter Orbanz

ICLR 2019 Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P. Adams, Peter Orbanz