Morgane Austern

1. Debiased Machine Learning without Sample-Splitting for Stable Estimators
   2022/06/03 by Qizhao Chen, Chen, Qizhao, Vasilis Syrgkanis +3 · 3 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Distributed Sensor Networks and Detection Algorithms #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (cs.LG) #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
2. Efficient Concentration with Gaussian Approximation
   2022/08/21 by Morgane Austern, Lester Mackey, Austern, Morgane +1 · 1 citation
   Computer Science · Mathematics · #60F10 #62G15 #Adversarial Robustness in Machine Learning #FOS: Mathematics #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Statistics Theory (math.ST)
3. Gaussian universality for approximately polynomial functions of high-dimensional data
   2024/03/15 by Kevin Han Huang, Huang, Kevin Han, Morgane Austern +3 · 1 citation
   Mathematics · #Advanced Statistical Methods and Models #FOS: Mathematics #Probability (math.PR) #Statistics Theory (math.ST)
4. The Zero Pattern of a Design Matrix Drives Multiple Descent in Over-parameterized Regression
   2026/07/27 by Kevin Han Huang, Haoyu Ye, Somak Laha +1
   #math.ST #cs.LG #stat.ML #stat.TH