3 papers
stat.ML2026
Nonparametric Distribution Regression Re-calibration
Ádám Jung, Domokos M. Kelen, András A. Benczúr
A key challenge in probabilistic regression is ensuring that predictive distributions accurately reflect true empirical uncertainty. Minimizing overall prediction error often encou…
cs.LG2023
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis
Domokos M. Kelen, Mihály Petreczky, Péter Kersch +1
In this work, we examine Asymmetric Shapley Values (ASV), a variant of the popular SHAP additive local explanation method. ASV proposes a way to improve model explanations incorpor…
cs.CR2023
ethp2psim: Evaluating and deploying privacy-enhanced peer-to-peer routing protocols for the Ethereum network
Ferenc Béres, István András Seres, Domokos M. Kelen +1
Network-level privacy is the Achilles heel of financial privacy in cryptocurrencies. Financial privacy amounts to achieving and maintaining blockchain- and network-level privacy. B…