Combine adaptive allocation with tournament-graph structure

Investigate and develop algorithms that integrate uncertainty-aware adaptive allocation of k-wise comparisons with the BlitzRank tournament-graph framework to further improve efficiency or accuracy, and characterize when such hybrid strategies outperform either approach alone.

Background

AcuRank uses adaptive computation based on uncertainty, while BlitzRank leverages tournament graphs and transitive closure for deterministic convergence and efficiency.

The authors note potential complementary benefits but leave the exploration of combined methods as an open question.