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Recent advances in high dimensional robust statistics - Daniel Kane
Hui Zou: Sparse Convoluted Rank Regression in High Dimensions
A Modern Maximum-Likelihood Theory for High-Dimensional Logistic Regression
High-Dimensional Statistics I
High-Dimensional Statistics II
Efficient Algorithms for High Dimensional Robust Learning
Sara van de Geer High-dimensional statistics. Lecture 1 (22 april 2013)
Robustness in High-Dimensional Inference Tasks
Computational-Statistical Tradeoffs in Robust High-Dimensional Estimation
From High Dimensional Data to Big Data - Han Liu
Large-scale regression with sparse data
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Last Updated: October 17, 2026
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Constantine Caramanis (University of Texas at Austin) ... Boaz Nadler (Weizmann Institute of Science) ... Ilias Diakonikolas, University of Southern California ... Computer Science/Discrete Mathematics Seminar I Topic: Recent advances in American Statistical Association (ASA), Section on Statistical Learning and Data Science (SLDS) September webinar: Pragya Sur (Stanford University) ... Martin Wainwright, UC Berkeley Big Data Boot Camp simons.berkeley.edu/talks/martin-wainwright-2013-09-05a. This raises the following question: is Jelena Bradic (UC San Diego) simons.berkeley.edu/talks/ Ilias Diakonikolas (University of Southern California) ... Han Liu Princeton University February 27, 2014 We introduce a new family of
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