Yuzhuo Pan

Learned feature ordering for exact optimal decision tree search: a lightweight neural scoring approach

Exact optimal decision tree solvers provide transparent models but face combinatorial search growth, making the order in which candidate features are explored consequential whenever a sound early-stopping bound is reached. Existing solvers largely rely on handcrafted orderings, w...

Parameterized exact fair decision tree learning with small sensitive group regimes

Fairness-constrained tree learning is highly desirable for high-accountability settings; however, exact combinatorial optimization is often considered computationally impractical when fairness constraints are strictly enforced. While most existing fair classification methods rely...