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ORCIDAlexander Tolbert
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- affiliation: Emory University, Department of Quantitative Theory and Methods, Atlanta, GA, USA
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2020 – today
- 2025
[c4]Becca Smith
, Alexander Williams Tolbert:
The Problem of Generics in LLM Training. FAccT 2025: 1275-1280- [c3]Tina Behzad, Sílvia Casacuberta, Emily Ruth Diana, Alexander Williams Tolbert:
Reconciling Predictive Multiplicity in Practice. FAccT 2025: 3350-3369 - [c2]Avrim Blum, Emily Diana, Kavya Ravichandran, Alexander Tolbert:
Pessimism Traps and Algorithmic Interventions. FORC 2025: 5:1-5:19 - [i11]Tina Behzad, Sílvia Casacuberta, Emily Diana, Alexander Williams Tolbert:
Reconciling Predictive Multiplicity in Practice. CoRR abs/2501.16549 (2025) - [i10]Adam Bouyamourn, Alexander Williams Tolbert:
Escaping the Subprime Trap in Algorithmic Lending. CoRR abs/2502.17816 (2025) - [i9]Avrim Blum, Emily Diana, Kavya Ravichandran, Alexander Williams Tolbert:
A Theoretical Model for Grit in Pursuing Ambitious Ends. CoRR abs/2503.02952 (2025) - [i8]Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk:
BiasConnect: Investigating Bias Interactions in Text-to-Image Models. CoRR abs/2503.09763 (2025) - [i7]Jingzhou Huang, Jiuyao Lu, Alexander Williams Tolbert:
Causal Feature Learning in the Social Sciences. CoRR abs/2503.12784 (2025) - [i6]Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew Turk:
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. CoRR abs/2505.17280 (2025) - [i5]Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson:
Bridging Prediction and Intervention Problems in Social Systems. CoRR abs/2507.05216 (2025) - 2024
- [i4]Audrey Chang, Emily Diana, Alexander Williams Tolbert:
Reconciling Heterogeneous Effects in Causal Inference. CoRR abs/2406.03575 (2024) - [i3]Emily Diana, Alexander Williams Tolbert, Kavya Ravichandran, Avrim Blum:
Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions. CoRR abs/2406.04462 (2024) - 2023
- [c1]Aaron Roth, Alexander Tolbert, Scott Weinstein:
Reconciling Individual Probability Forecasts✱. FAccT 2023: 101-110 - [i2]Alexander Williams Tolbert, Emily Diana:
Correcting Underrepresentation and Intersectional Bias for Fair Classification. CoRR abs/2306.11112 (2023) - 2022
- [i1]Aaron Roth, Alexander Tolbert, Scott Weinstein:
Reconciling Individual Probability Forecasts. CoRR abs/2209.01687 (2022)
Coauthor Index
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