Reconciling Individual Probability Forecasts✱. - Aaron Roth 001; Alexander Tolbert; Scott Weinstein (FAccT, 2023)

Correcting Underrepresentation and Intersectional Bias for Fair Classification. - Alexander Williams Tolbert; Emily Diana (CoRR, 2023)

Reconciling Heterogeneous Effects in Causal Inference. - Audrey Chang; Emily Diana; Alexander Williams Tolbert (CoRR, 2024)

Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions. - Emily Diana; Alexander Williams Tolbert; Kavya Ravichandran; Avrim Blum (CoRR, 2024)

Reconciling Predictive Multiplicity in Practice. - Tina Behzad; Sílvia Casacuberta; Emily Ruth Diana; Alexander Williams Tolbert (FAccT, 2025)

The Problem of Generics in LLM Training. - Becca Smith; Alexander Williams Tolbert (FAccT, 2025)

Pessimism Traps and Algorithmic Interventions. - Avrim Blum; Emily Diana; Kavya Ravichandran; Alexander Tolbert (FORC, 2025)

Escaping the Subprime Trap in Algorithmic Lending. - Adam Bouyamourn; Alexander Williams Tolbert (CoRR, 2025)

A Theoretical Model for Grit in Pursuing Ambitious Ends. - Avrim Blum; Emily Diana; Kavya Ravichandran; Alexander Williams Tolbert (CoRR, 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, 2025)

Causal Feature Learning in the Social Sciences. - Jingzhou Huang; Jiuyao Lu; Alexander Williams Tolbert (CoRR, 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 Turk 001 (CoRR, 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; et al. (CoRR, 2025)