Binh T. Nguyen

OptSHAP: Explaining Dimensionality Reduction-based Models for Tabular Data via Optimization

Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling

A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random

Mitigating Reward Over-optimization in Direct Alignment Algorithms with Adaptive Importance Sampling

Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator