Robust Estimators in High Dimensions without the Computational
Intractability

Robust Estimators in High Dimensions without the Computational Intractability

21 April 2016

Ilias Diakonikolas

Alistair Stewart

Papers citing "Robust Estimators in High Dimensions without the Computational Intractability"

12 / 12 papers shown

Title
Computing High-dimensional Confidence Sets for Arbitrary Distributions Chao Gao Liren Shan Vaidehi Srinivas Aravindan Vijayaraghavan 59 0 0 03 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 98 0 0 01 Apr 2025
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination Ilias Diakonikolas Giannis Iakovidis D. Kane Thanasis Pittas 120 0 0 20 Feb 2025
Beyond IID: data-driven decision-making in heterogeneous environments Omar Besbes Will Ma Omar Mouchtaki 60 8 0 03 Jan 2025
Optimal Rates for Robust Stochastic Convex Optimization Changyu Gao Andrew Lowy Xingyu Zhou Stephen J. Wright 97 0 0 15 Dec 2024
Time-Uniform Confidence Spheres for Means of Random Vectors Ben Chugg Hongjian Wang Aaditya Ramdas 74 5 0 14 Nov 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization Florian E. Dorner Nikola Konstantinov Georgi Pashaliev Martin Vechev FedML 49 6 0 25 May 2023
Being Robust (in High Dimensions) Can Be Practical Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Ankur Moitra Alistair Stewart 50 253 0 02 Mar 2017
Computationally Efficient Robust Estimation of Sparse Functionals S. Du Sivaraman Balakrishnan Aarti Singh 41 18 0 24 Feb 2017
Efficient Density Estimation via Piecewise Polynomial Approximation Siu On Chan Ilias Diakonikolas Rocco A. Servedio Xiaorui Sun 60 116 0 14 May 2013
Learning Topic Models - Going beyond SVD Sanjeev Arora Rong Ge Ankur Moitra 85 432 0 09 Apr 2012
Polynomial Learning of Distribution Families M. Belkin Kaushik Sinha 148 224 0 27 Apr 2010