2 papers
cs.LG2026
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
Shu Wan, Abhinav Gorantla, Huan Liu +2
Under standard graphical assumptions, the Markov boundary of a target variable is the smallest set of features that renders every other feature redundant. Once the boundary is obse…
cs.DB2026
Causal Search for Skylines (CSS): Causally-Informed Selective Data De-Correlation
Pratanu Mandal, Abhinav Gorantla, K. Selçuk Candan +1
Skyline queries are popular and effective tools in multi-criteria decision support as they extract interesting (pareto-optimal) points that help summarize the available data with r…