Alan Mishler

According to our database, Alan Mishler authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Semiparametric Efficient Inference in Adaptive Experiments.

Thomas Cook, Alan Mishler, Aaditya Ramdas

Proceedings of the Causal Learning and Reasoning, 2024

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing.

Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

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

Flexible Group Fairness Metrics for Survival Analysis.

Raphael Sonabend, Florian Pfisterer, Alan Mishler, Moritz Schauer, Lukas Burk, Sebastian J. Vollmer

CoRR, 2022

Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings.

Alan Mishler, Niccolò Dalmasso

CoRR, 2022

FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes.

Alan Mishler, Edward H. Kennedy

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds.

Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

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

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Counterfactual risk assessments, evaluation, and fairness.

Amanda Coston, Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

Modeling Risk and Achieving Algorithmic Fairness Using Potential Outcomes.

Alan Mishler

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2017

Filtering Tweets for Social Unrest.

Alan Mishler, Kevin Wonus, Wendy Chambers, Michael Bloodgood

Proceedings of the 11th IEEE International Conference on Semantic Computing, 2017

2016

Modeling Triage Decision Making.

J. Isaiah Harbison, Alan Mishler, Thomas S. Wallsten

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

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

Proceedings of the HCI International 2015 - Posters' Extended Abstracts, 2015

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

Proceedings of the HCI International 2015 - Posters' Extended Abstracts, 2015