Alistair Stewart

1. Robust Estimators in High Dimensions without the Computational\n Intractability
   2016/04/21 by Ilias Diakonikolas, Gautam Kamath, Diakonikolas, Ilias +10 · 27 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Algorithm #Combinatorics #Computer science #Cryptography #Data Structures and Algorithms (cs.DS) #Dimension (graph theory) #Discrete mathematics #Distribution (mathematics) #Dot product #Estimator #FOS: Computer and information sciences #FOS: Mathematics #Fraction (chemistry) #Gaussian #Hypercube #Information Theory (cs.IT) #Learning with errors #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Mathematical optimization #Mathematics #Product (mathematics) #Statistics #Statistics Theory (math.ST) #Theoretical computer science #cs.DS #cs.IT #cs.LG #math.IT #math.ST #stat.ML #stat.TH
2. Being Robust (in High Dimensions) Can Be Practical
   2017/03/02 by Ilias Diakonikolas, Diakonikolas, Ilias, Gautam Kamath +9 · 22 citations
   Computer Science · Mathematics · #Advanced Statistical Methods and Models #Machine Learning and Algorithms #Statistical Methods and Inference #cs.DS #cs.IT #cs.LG #math.IT #stat.ML