4 papers
Faster than Fast-LTS: Robust Regression and Outlier Detection with DC Programming
Marah-Lisanne Thormann, Phan Tu Vuong, Alain B. Zemkoho +1
When datasets contain outliers, robust regression is a well-established alternative to Ordinary Least Squares. A commonly employed robust estimator is Least Trimmed Squares (LTS),…
Achieving Better Regret against Strategic Adversaries
Le Cong Dinh, Tri-Dung Nguyen, Alain Zemkoho +1
We study online learning problems in which the learner has extra knowledge about the adversary's behaviour, i.e., in game-theoretic settings where opponents typically follow some n…
Simplifying the Kohlberg Criterion on the Nucleolus
Tri-Dung Nguyen
The nucleolus offers a desirable payoff-sharing solution in cooperative games thanks to its attractive properties - it always exists and lies in the core (if the core is non-empty)…
Optimization techniques for multivariate least trimmed absolute deviation estimation
G. Zioutas, C. Chatzinakos, T. D. Nguyen +1
Given a dataset an outlier can be defined as an observation that it is unlikely to follow the statistical properties of the majority of the data. Computation of the location estima…