3 papers
cs.LG2025
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection
Tanmay Chakraborty, Christian Wirth, Christin Seifert
This paper introduces Multi-Output LOcal Narrative Explanation (MOLONE), a novel comparative explanation method designed to enhance preference selection in human-in-the-loop Prefer…
cs.LG2025
Explainable Bayesian Optimization
Tanmay Chakraborty, Christian Wirth, Christin Seifert
Manual parameter tuning of cyber-physical systems is a common practice, but it is labor-intensive. Bayesian Optimization (BO) offers an automated alternative, yet its black-box nat…
cs.HC2025
Explanation format does not matter; but explanations do -- An Eggsbert study on explaining Bayesian Optimisation tasks
Tanmay Chakraborty, Marion Koelle, Jörg Schlötterer +3
Bayesian Optimisation (BO) is a family of methods for finding optimal parameters when the underlying function to be optimised is unknown. BO is used, for example, for hyperparamete…