Reading Between the Lines: A Prototype Model for Detecting Twitter Sockpuppet Accounts Using Language-Agnostic Processes. - Erin Smith Crabb; Alan Mishler; Susannah Paletz; Brook Hefright; Ewa Golonka (HCI (27), 2015)

Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis. - Alan Mishler; Erin Smith Crabb; Susannah Paletz; Brook Hefright; Ewa Golonka (HCI (27), 2015)

Modeling Triage Decision Making. - J. Isaiah Harbison; Alan Mishler; Thomas S. Wallsten (CogSci, 2016)

Filtering Tweets for Social Unrest. - Alan Mishler; Kevin Wonus; Wendy Chambers; Michael Bloodgood (ICSC, 2017)

Modeling Risk and Achieving Algorithmic Fairness Using Potential Outcomes. - Alan Mishler (AIES, 2019)

Counterfactual risk assessments, evaluation, and fairness. - Amanda Coston; Alan Mishler; Edward H. Kennedy; Alexandra Chouldechova (FAT*, 2020)

Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. - Alessandro Fabris; Alan Mishler; Stefano Gottardi; Mattia Carletti; Matteo Daicampi; Gian Antonio Susto; Gianmaria Silvello (AIES, 2021)

Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds. - Alan Mishler; Edward H. Kennedy; Alexandra Chouldechova (FAccT, 2021)

FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes. - Alan Mishler; Edward H. Kennedy (FAccT, 2022)

Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings. - Alan Mishler; Niccolò Dalmasso (CoRR, 2022)

Flexible Group Fairness Metrics for Survival Analysis. - Raphael Sonabend; Florian Pfisterer; Alan Mishler; Moritz Schauer; Lukas Burk; Sebastian J. Vollmer (CoRR, 2022)

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale. - Akshaj Kumar Veldanda; Ivan Brugere; Jiahao Chen; Sanghamitra Dutta; Alan Mishler; Siddharth Garg (CoRR, 2022)

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss. - Akshaj Kumar Veldanda; Ivan Brugere; Jiahao Chen; Sanghamitra Dutta; Alan Mishler; Siddharth Garg (Trans. Mach. Learn. Res., 2023)

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. - Zikai Xiong; Niccolò Dalmasso; Alan Mishler; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (AAAI, 2024)

Semiparametric Efficient Inference in Adaptive Experiments. - Thomas Cook; Alan Mishler; Aaditya Ramdas (CLeaR, 2024)

Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. - Akshaj Kumar Veldanda; Ivan Brugere; Sanghamitra Dutta; Alan Mishler; Siddharth Garg (Trans. Mach. Learn. Res., 2024)

Auditing and Enforcing Conditional Fairness via Optimal Transport. - Mohsen Ghassemi; Alan Mishler; Niccolò Dalmasso; Luhao Zhang; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (AAAI, 2025)

Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs. - Harit Vishwakarma; Alan Mishler; Thomas Cook; Niccolò Dalmasso; Natraj Raman; Sumitra Ganesh (CoRR, 2025)