3 papers
cs.LG2026
TabCausal: Pretraining Across Causal Environments for Tabular Causal Discovery
Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang +1
Causal discovery aims to recover directed causal relations from observational and interventional data, providing a basis for mechanistic understanding and reliable decision-making.…
cs.LG2026
HH-SAE: Discovering and Steering Hierarchical Knowledge of Complex Manifolds
Honghan Wu, Tianyan Wang, Jiacong Mi +2
Rare semantic innovations in high-dimensional, mission-critical domains are often obscured by dense background contexts, a challenge we define as \textit{feature density conflict}.…
cs.LG2026
Non-Parametric Rehearsal Learning via Conditional Mean Embeddings
Wen-Bo Du, Tian-Zuo Wang, Han-Jia Ye +1
In machine learning, a critical class of decision-related problems concerns preventing predicted undesirable outcomes, referred to as the \textit{avoiding undesired future} (AUF) p…