In modern recommendation systems, unbiased learning-to-rank (LTR) is cru...
Counterfactual Explanation (CE) is a post-hoc explanation method that
pr...
In this paper, we propose a strategy to construct a multi-objective
opti...
This paper proposes a two-phase framework with a Bézier simplex-based
in...
This paper studies a distributionally robust portfolio optimization mode...
Bézier simplex fitting algorithms have been recently proposed to
approxi...
Post-hoc explanation methods for machine learning models have been widel...
This paper discusses the prediction of hierarchical time series, where e...
The Bezier simplex fitting is a novel data modeling technique which expl...