Morgane Austern
7 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
π Conference Polyglot (5) π Academic Marathon (6) π Cross-Pollinator (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10)
π§
Keyword Pioneer
Conferences
AISTATS (2)
NIPS (2)
COLT (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
node classification
(2)
causal inference
(1)
stochastic gradient descent
(1)
link prediction
(1)
model selection
(1)
graph representation
(1)
empirical risk minimization
(1)
asymptotic analysis
(1)
asymptotic normality
(1)
confidence interval
(1)
asymptotic distribution
(1)
network embedding
(1)
sample splitting
(1)
fisher consistency
(1)
relational datum
(1)
graph sampling
(1)
debiased machine learning
(1)
kernel test
(1)
statistical learning
(1)
empirical bootstrap
(1)
Papers
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
AISTATS 2025
Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation
COLT 2025
Asymptotics of Network Embeddings Learned via Subsampling
JMLR 2023
Debiased Machine Learning without Sample-Splitting for Stable Estimators
NIPS 2022
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection
NIPS 2021
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
AISTATS 2019
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach
ICLR 2019