Compressibility and Generalization in Large-Scale Deep Learning. - Wenda Zhou; Victor Veitch; Morgane Austern; Ryan P. Adams; Peter Orbanz (CoRR, 2018)

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

Asymptotics of the Empirical Bootstrap Method Beyond Asymptotic Normality. - Morgane Austern; Vasilis Syrgkanis (CoRR, 2020)

On the Gaussianity of Kolmogorov Complexity of Mixing Sequences. - Morgane Austern; Arian Maleki (IEEE Trans. Inf. Theory, 2020)

Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection. - Morgane Austern; Vasilis Syrgkanis (NeurIPS, 2021)

Debiased Machine Learning without Sample-Splitting for Stable Estimators. - Qizhao Chen; Vasilis Syrgkanis; Morgane Austern (NeurIPS, 2022)

Quantifying the Effects of Data Augmentation. - Kevin Han Huang; Peter Orbanz; Morgane Austern (CoRR, 2022)

Inference on Optimal Dynamic Policies via Softmax Approximation. - Qizhao Chen; Morgane Austern; Vasilis Syrgkanis (CoRR, 2023)

Asymptotics of Network Embeddings Learned via Subsampling. - Andrew Davison; Morgane Austern (J. Mach. Learn. Res., 2023)

Statistical Guarantees for Link Prediction using Graph Neural Networks. - Alan Chung; Amin Saberi; Morgane Austern (CoRR, 2024)

Random Geometric Graph Alignment with Graph Neural Networks. - Suqi Liu; Morgane Austern (CoRR, 2024)

Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks. - Suqi Liu; Morgane Austern (AISTATS, 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 (COLT, 2025)

Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models. - Morgane Austern; Yuanchuan Guo; Zheng Tracy Ke; Tianle Liu (CoRR, 2025)

Inference on Optimal Policy Values and Other Irregular Functionals via Smoothing. - Justin Whitehouse; Morgane Austern; Vasilis Syrgkanis (CoRR, 2025)