activity
20142026
most citedSimplifying the Kohlberg Criterion on the Nucleolus

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2026

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),…

cs.LG2023

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…

math.OC2016★ 1 cited

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)…

math.ST2015★ 1 cited

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…

math.OC2014

Robust Newsvendor Games with Ambiguity in Demand Distributions

Xuan Vinh Doan, Tri-Dung Nguyen

We investigate newsvendor games whose payoff function is uncertain due to ambiguity in demand distributions. We discuss the concept of stability under uncertainty and introduce sol…