Alan Mishler

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Efficient Inference

Risk Assessment

Top Venues

Publications

Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. AAAI (2024)
Thomas Cook, Alan Mishler, Aaditya Ramdas
Semiparametric Efficient Inference in Adaptive Experiments. CLeaR (2024)
Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. Trans. Mach. Learn. Res. 2024 (2024)
Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. CoRR (2023)
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss. Trans. Mach. Learn. Res. 2023 (2023)
Thomas Cook, Alan Mishler, Aaditya Ramdas
Semiparametric Efficient Inference in Adaptive Experiments. CoRR (2023)
Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. CoRR (2023)
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale. CoRR (2022)
Raphael Sonabend, Florian Pfisterer, Alan Mishler, Moritz Schauer, Lukas Burk, Sebastian J. Vollmer
Flexible Group Fairness Metrics for Survival Analysis. CoRR (2022)
Alan Mishler, Edward H. Kennedy
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes. FAccT (2022)
Alan Mishler, Niccolò Dalmasso
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings. CoRR (2022)
Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. AIES (2021)
Alan Mishler, Edward H. Kennedy
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes. CoRR (2021)
Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova
Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds. FAccT (2021)
Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. CoRR (2021)
Amanda Coston, Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova
Counterfactual risk assessments, evaluation, and fairness. FAT* (2020)
Alan Mishler
Modeling Risk and Achieving Algorithmic Fairness Using Potential Outcomes. AIES (2019)
Alan Mishler, Kevin Wonus, Wendy Chambers, Michael Bloodgood
Filtering Tweets for Social Unrest. CoRR (2017)
Alan Mishler, Kevin Wonus, Wendy Chambers, Michael Bloodgood
Filtering Tweets for Social Unrest. ICSC (2017)
J. Isaiah Harbison, Alan Mishler, Thomas S. Wallsten
Modeling Triage Decision Making. CogSci (2016)
Erin Smith Crabb, Alan Mishler, Susannah Paletz, Brook Hefright, Ewa Golonka
Reading Between the Lines: A Prototype Model for Detecting Twitter Sockpuppet Accounts Using Language-Agnostic Processes. HCI (27) (2015)
Alan Mishler, Erin Smith Crabb, Susannah Paletz, Brook Hefright, Ewa Golonka
Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis. HCI (27) (2015)