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Papers
Instability, Computational Efficiency and Statistical Accuracy
JMLR 2025
On the Impact of Performative Risk Minimization for Binary Random Variables
ICML 2025
The Foundations of Tokenization: Statistical and Computational Concerns
ICLR 2025
Expected Validation Performance and Estimation of a Random Variable’s Maximum
EMNLP 2021
A Characterization of Mean Squared Error for Estimator with Bagging
AISTATS 2020
Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators
ALT 2019
Statistics and Samples in Distributional Reinforcement Learning
ICML 2019
Optimum Statistical Estimation with Strategic Data Sources
COLT 2015
Time--Data Tradeoffs by Aggressive Smoothing
NeurIPS 2014