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Kevin Stangl
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2020 – today
- 2024
- [c5]Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin M. Stangl:
Agnostic Multi-Robust Learning using ERM. AISTATS 2024: 2242-2250 - [c4]Avrim Blum, Princewill Okoroafor, Aadirupa Saha, Kevin M. Stangl:
On the Vulnerability of Fairness Constrained Learning to Malicious Noise. AISTATS 2024: 4096-4104 - [i8]Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani:
Bayesian Strategic Classification. CoRR abs/2402.08758 (2024) - [i7]Kevin Stangl, Marius Arvinte, Weilin Xu, Cory Cornelius:
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation. CoRR abs/2405.07969 (2024) - 2023
- [c3]Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani:
Sequential Strategic Screening. ICML 2023: 6279-6295 - [i6]Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani:
Sequential Strategic Screening. CoRR abs/2301.13397 (2023) - [i5]Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin Stangl:
Certifiable (Multi)Robustness Against Patch Attacks Using ERM. CoRR abs/2303.08944 (2023) - [i4]Avrim Blum, Princewill Okoroafor, Aadirupa Saha, Kevin Stangl:
On the Vulnerability of Fairness Constrained Learning to Malicious Noise. CoRR abs/2307.11892 (2023) - 2022
- [c2]Avrim Blum, Kevin Stangl, Ali Vakilian:
Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline. FAccT 2022: 1178-1193 - [i3]Avrim Blum, Kevin Stangl, Ali Vakilian:
Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline. CoRR abs/2203.07513 (2022) - 2020
- [c1]Avrim Blum
, Kevin Stangl:
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? FORC 2020: 3:1-3:20
2010 – 2019
- 2019
- [i2]Avrim Blum, Kevin Stangl:
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? CoRR abs/1912.01094 (2019) - 2016
- [i1]Samuel Birns, Bohyun Kim, Stephanie Ku, Kevin Stangl, Deanna Needell:
A Practical Study of Longitudinal Reference Based Compressed Sensing for MRI. CoRR abs/1608.04728 (2016)
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