Person: Bianca Zadrozny

DBLP: Zadrozny:Bianca

Contributed to:

2014

2009

2007

2006

2005

2004

2004

2002

2001

2001

Wrote 12 papers:

ICML-c2-2014-SantosZ #learning

Learning Character-level Representations for Part-of-Speech Tagging (CNdS, BZ), pp. 1818–1826.

ICML-2009-BeygelzimerLZ #machine learning #reduction #summary #tutorial

Tutorial summary: Reductions in machine learning (AB, JL, BZ), p. 12.

KDD-2007-PerlichRLZ #estimation #modelling

High-quantile modeling for customer wallet estimation and other applications (CP, SR, RDL, BZ), pp. 977–985.

KDD-2006-AbeZL #detection #learning

Outlier detection by active learning (NA, BZ, JL), pp. 504–509.

ICML-2005-BeygelzimerDHLZ #classification #fault #reduction

Error limiting reductions between classification tasks (AB, VD, TPH, JL, BZ), pp. 49–56.

ICML-2005-LangfordZ #classification #learning #performance

Relating reinforcement learning performance to classification performance (JL, BZ), pp. 473–480.

ICML-2004-Zadrozny #bias #classification #learning

Learning and evaluating classifiers under sample selection bias (BZ).

KDD-2004-AbeZL #learning #multi

An iterative method for multi-class cost-sensitive learning (NA, BZ, JL), pp. 3–11.

KDD-2002-PednaultAZ #learning

Sequential cost-sensitive decision making with reinforcement learning (EPDP, NA, BZ), pp. 259–268.

KDD-2002-ZadroznyE #classification #multi #probability

Transforming classifier scores into accurate multiclass probability estimates (BZ, CE), pp. 694–699.

ICML-2001-ZadroznyE #classification #naive bayes #probability

Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers (BZ, CE), pp. 609–616.

KDD-2001-ZadroznyE #learning

Learning and making decisions when costs and probabilities are both unknown (BZ, CE), pp. 204–213.