2 papers
cs.LG2026
Efficient Ensemble Conditional Independence Test Framework for Causal Discovery
Zhengkang Guan, Kun Kuang
Constraint-based causal discovery relies on numerous conditional independence tests (CITs), but its practical applicability is severely constrained by the prohibitive computational…
cs.LG2024
Debiasing Machine Unlearning with Counterfactual Examples
Ziheng Chen, Jia Wang, Jun Zhuang +7
The right to be forgotten (RTBF) seeks to safeguard individuals from the enduring effects of their historical actions by implementing machine-learning techniques. These techniques…