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Kristian Lum
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2020 – today
- 2024
- [i12]Kristian Lum, Jacy Reese Anthis, Chirag Nagpal, Alexander D'Amour:
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation. CoRR abs/2402.12649 (2024) - [i11]Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan:
The Impossibility of Fair LLMs. CoRR abs/2406.03198 (2024) - [i10]Laura Weidinger, John Mellor, Bernat Guillen Pegueroles, Nahema Marchal, Ravin Kumar, Kristian Lum, Canfer Akbulut, Mark Diaz, A. Stevie Bergman, Mikel Rodriguez, Verena Rieser, William Isaac:
STAR: SocioTechnical Approach to Red Teaming Language Models. CoRR abs/2406.11757 (2024) - 2023
- [j3]Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury:
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 4(8): 100822 (2023) - [c11]Mohsen Abbasi
, Calvin Barrett
, Kristian Lum
, Sorelle A. Friedler
, Suresh Venkatasubramanian
:
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. FAccT 2023: 1038-1048 - 2022
- [j2]Tomo Lazovich
, Luca Belli, Aaron Gonzales
, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury:
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 3(8): 100568 (2022) - [c10]Mikaela Meyer, Aaron Horowitz, Erica Marshall, Kristian Lum:
Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants. FAccT 2022: 366-378 - [c9]Kristian Lum, Yunfeng Zhang, Amanda Bower:
De-biasing "bias" measurement. FAccT 2022: 379-389 - [i9]Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury:
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics. CoRR abs/2202.01615 (2022) - [i8]Kristian Lum, Yunfeng Zhang, Amanda Bower:
De-biasing "bias" measurement. CoRR abs/2205.05770 (2022) - [i7]Mikaela Meyer, Aaron Horowitz, Erica Marshall, Kristian Lum:
Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants. CoRR abs/2205.13505 (2022) - [i6]Mohsen Abbasi, Suresh Venkatasubramanian
, Sorelle A. Friedler, Kristian Lum, Calvin Barrett:
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. CoRR abs/2205.14867 (2022) - [i5]Amanda Bower, Kristian Lum, Tomo Lazovich
, Kyra Yee, Luca Belli:
Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems. CoRR abs/2209.05000 (2022) - [i4]Luca Belli, Kyra Yee, Uthaipon Tantipongpipat, Aaron Gonzales, Kristian Lum, Moritz Hardt:
County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline. CoRR abs/2211.08667 (2022) - 2021
- [c8]Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian:
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. NeurIPS Datasets and Benchmarks 2021 - [c7]Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. RecSys Challenge 2021: 1-6 - [i3]Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian:
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. CoRR abs/2106.05498 (2021) - [i2]Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. CoRR abs/2109.08245 (2021) - 2020
- [c6]Kristian Lum, Chesa Boudin, Megan Price:
The impact of overbooking on a pre-trial risk assessment tool. FAT* 2020: 482-491
2010 – 2019
- 2016
- [i1]Kristian Lum, James E. Johndrow:
A statistical framework for fair predictive algorithms. CoRR abs/1610.08077 (2016) - 2013
- [j1]Yi Zhang, Kristian Lum, Jun Yang:
Failure-Aware Cascaded Suppression in Wireless Sensor Networks. IEEE Trans. Knowl. Data Eng. 25(5): 1042-1055 (2013) - [c5]James E. Johndrow, David B. Dunson, Kristian Lum:
Diagonal Orthant Multinomial Probit Models. AISTATS 2013: 29-38 - [c4]Nidhi Kiranbhai Parikh, Samarth Swarup, Paula Elaine Stretz, Caitlin M. Rivers, Bryan L. Lewis, Madhav V. Marathe, Stephen G. Eubank, Christopher L. Barrett, Kristian Lum, Youngyun Chungbaek:
Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation. AAMAS 2013: 949-956 - [c3]Samarth Swarup, Kristian Lum, Christopher L. Barrett, Keith R. Bisset, Stephen G. Eubank
, Madhav V. Marathe, Paula Elaine Stretz:
A Synthetic Information Approach to Urban-Scale Disaster Modeling. CSE 2013: 1105-1112 - [c2]Rajesh Subbiah, Kristian Lum, Achla Marathe, Madhav V. Marathe:
Activity based energy demand modeling for residential buildings. ISGT 2013: 1-6 - [c1]Christopher L. Barrett, Keith R. Bisset, Shridhar Chandan, Jiangzhuo Chen, Youngyun Chungbaek, Stephen G. Eubank
, C. Yaman Evrenosoglu, Bryan L. Lewis, Kristian Lum, Achla Marathe, Madhav V. Marathe, Henning S. Mortveit
, Nidhi Kiranbhai Parikh, Arun G. Phadke, Jeffrey H. Reed, Caitlin M. Rivers, Sudip Saha, Paula Elaine Stretz, Samarth Swarup, James S. Thorp, Anil Vullikanti, Dawen Xie:
Planning and response in the aftermath of a large crisis: An agent-based informatics framework. WSC 2013: 1515-1526
Coauthor Index
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last updated on 2024-07-19 19:19 CEST by the dblp team
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