Scheidegger, Carlos
- Certifying and removing disparate impact
2014/12/11 by Michael B. Feldman, Feldman, Michael, Sorelle A. Friedler +7 · 52 citations
Social Sciences · Economics, Econometrics and Finance · #Ethics and Social Impacts of AI #Law, Economics, and Judicial Systems #Judicial and Constitutional Studies
- Problems with Shapley-value-based explanations as feature importance\n measures
2020/02/25 by I. Elizabeth Kumar, Kumar, I. Elizabeth, Suresh Venkatasubramanian +5 · 23 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Bayesian Modeling and Causal Inference
- A comparative study of fairness-enhancing interventions in machine learning
2018/02/13 by Friedler, Sorelle A., Scheidegger, Carlos, Venkatasubramanian, Suresh +3 · 17 citations
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Runaway Feedback Loops in Predictive Policing
2017/06/29 by Ensign, Danielle, Friedler, Sorelle A., Neville, Scott +2 · 5 citations
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (stat.ML)
- Assessing the Local Interpretability of Machine Learning Models
2019/02/09 by Slack, Dylan, Friedler, Sorelle A., Scheidegger, Carlos +1 · 3 citations
#FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- UnProjection: Leveraging Inverse-Projections for Visual Analytics of\n High-Dimensional Data
2021/11/02 by Mateus Espadoto, Espadoto, Mateus, Gabriel Appleby +15 · 3 citations
Computer Science · #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Data Visualization and Analytics #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
- Fairness in representation: quantifying stereotyping as a representational harm
2019/01/28 by Abbasi, Mohsen, Friedler, Sorelle A., Scheidegger, Carlos +1 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Auditing Black-box Models for Indirect Influence
2016/02/23 by Adler, Philip, Falk, Casey, Friedler, Sorelle A. +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology
2017/07/20 by Hajij, Mustafa, Wang, Bei, Scheidegger, Carlos +1 · 1 citation
#Computational Geometry (cs.CG) #FOS: Computer and information sciences #Graphics (cs.GR)
- Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models
2021/08/08 by Zhao, Zhenge, Xu, Panpan, Scheidegger, Carlos +1 · 1 citation
#FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
- Disentangling Influence: Using Disentangled Representations to Audit Model Predictions
2019/06/20 by Charles T. Marx, Richard L. Phillips, Marx, Charles T. +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Persistent Classification: A New Approach to Stability of Data and Adversarial Examples
2024/04/11 by Brian Bell, Bell, Brian, Michaël Geyer +11 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Traveler: Navigating Task Parallel Traces for Performance Analysis
2022/07/30 by Sakin, Sayef Azad, Bigelow, Alex, Tohid, R. +7 · 1 citation
#FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)