FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression Y ouguang Chen George Biros Oden Institute for Computational Engineering and Sciences The University of Texas at Austin

Feb-17-2026, 05:17:19 GMT–Neural Information Processing Systems 

Based on our theoretical analysis, we propose an active learning algorithm that employs regret minimization to minimize the FIR.