Alexander Tolbert

According to our database, Alexander Tolbert authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

A Theoretical Model for Grit in Pursuing Ambitious Ends.

Avrim Blum, Emily Diana, Kavya Ravichandran, Alexander Williams Tolbert

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Bridging Prediction and Intervention Problems in Social Systems.

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

CoRR, July, 2025

Causal Feature Learning in the Social Sciences.

Jingzhou Huang, Jiuyao Lu, Alexander Williams Tolbert

CoRR, March, 2025

BiasConnect: Investigating Bias Interactions in Text-to-Image Models.

Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk

CoRR, March, 2025

Escaping the Subprime Trap in Algorithmic Lending.

Adam Bouyamourn, Alexander Williams Tolbert

CoRR, February, 2025

Pessimism Traps and Algorithmic Interventions.

Avrim Blum, Emily Diana, Kavya Ravichandran, Alexander Tolbert

Proceedings of the 6th Symposium on Foundations of Responsible Computing, 2025

The Problem of Generics in LLM Training.

Becca Smith, Alexander Williams Tolbert

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Reconciling Predictive Multiplicity in Practice.

Tina Behzad, Sílvia Casacuberta, Emily Ruth Diana, Alexander Williams Tolbert

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models.

Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions.

Emily Diana, Alexander Williams Tolbert, Kavya Ravichandran, Avrim Blum

CoRR, 2024

Reconciling Heterogeneous Effects in Causal Inference.

Audrey Chang, Emily Diana, Alexander Williams Tolbert

CoRR, 2024

2023

Correcting Underrepresentation and Intersectional Bias for Fair Classification.

Alexander Williams Tolbert, Emily Diana

CoRR, 2023

Reconciling Individual Probability Forecasts✱.

Aaron Roth, Alexander Tolbert, Scott Weinstein

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023