Berk Ustun

发表

Methods and Models for Interpretable Linear Classification pdf

Cynthia Rudin, Berk Ustun, C. Rudin, 2014, ArXiv.

Supersparse Linear Integer Models for Interpretable Classification

Cynthia Rudin, Berk Ustun, Stefano Traca, 2013, 1306.6677.

Interpretable classification models for recidivism prediction

Cynthia Rudin, Berk Ustun, Jiaming Zeng, 2015, 1503.07810.

The Markov chain Monte Carlo approach to importance sampling in stochastic programming

Berk Ustun, Berk Ustun, 2012 .

Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions

Berk Ustun, Hao Wang, Flávio P. Calmon, 2019, ICML.

Fairness without Harm: Decoupled Classifiers with Preference Guarantees

David C. Parkes, Berk Ustun, Yang Liu, 2019, ICML.

Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice

Cynthia Rudin, Berk Ustun, C. Rudin, 2018, Interfaces.

Supersparse Linear Integer Models for Predictive Scoring Systems

Cynthia Rudin, Berk Ustun, Stefano Tracà, 2013, AAAI.

Learning Optimized Risk Scores

Cynthia Rudin, Berk Ustun, C. Rudin, 2016, J. Mach. Learn. Res..

Simple linear classifiers via discrete optimization: learning certifiably optimal scoring systems for decision-making and risk assessment

Berk Ustun, Berk Ustun, 2017 .

Importance Sampling in Stochastic Programming: A Markov Chain Monte Carlo Approach

Berk Ustun, Panos Parpas, Mort Webster, 2015, INFORMS J. Comput..

Actionable Recourse in Linear Classification

Yang Liu, Berk Ustun, Alexander Spangher, 2018, FAT.

Learning Optimized Risk Scores on Large-Scale Datasets

Cynthia Rudin, Berk Ustun, 2016 .

Supersparse linear integer models for optimized medical scoring systems

Cynthia Rudin, Berk Ustun, C. Rudin, 2015, Machine Learning.

On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning

Hao Wang, Berk Ustun, Flávio du Pin Calmon, 2018, 2018 IEEE International Symposium on Information Theory (ISIT).

Optimized Risk Scores

Cynthia Rudin, Berk Ustun, C. Rudin, 2017, KDD.

Predictive Multiplicity in Classification pdf

Berk Ustun, Flavio du Pin Calmon, Charles T. Marx, 2020, ICML.

Learning Optimal Predictive Checklists pdf

Berk Ustun, Marzyeh Ghassemi, Haoran Zhang, 2021, NeurIPS.