Author

D. Hochbaum

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Aug 2026

Faster and better quality conductance solutions with the incremental parametric cut algorithm

This work presents the first publicly available implementation of IPC for conductance*, together with an extensive experimental study comparing its performance against state-of-the-art techniques, including several spectral method implementations, several ﬂow-based methods, and METIS.

D. Hochbaum, Ayleen Irribarra-Cortés, Roberto Asín-Achá · Optimization and Engineering · 1 citation

Preprint Aug 2026

Diversity-Based Active Learning: An Evaluation of Metric Spaces for Active Learning Selection

Evaluating the performance of Greedy K-center across a variety of metric spaces shows that mapping unlabeled instances into a predictive probability space and weighting the result by entropy often dominates the other options for active learning selection with Greedy K-center.

Siddharth Chilamkur, D. Hochbaum · 0 citations