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2020 – today
- 2025
[i11]Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolò Dalmasso, Natraj Raman, Sumitra Ganesh:
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs. CoRR abs/2501.00555 (2025)- 2024
- [j2]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) - [c11]Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. AAAI 2024: 16120-16128 - [c10]Thomas Cook, Alan Mishler, Aaditya Ramdas:
Semiparametric Efficient Inference in Adaptive Experiments. CLeaR 2024: 1033-1064 - [i10]Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Auditing and Enforcing Conditional Fairness via Optimal Transport. CoRR abs/2410.14029 (2024) - 2023
- [j1]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) - [i9]Akshaj Kumar Veldanda
, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. CoRR abs/2302.01385 (2023) - [i8]Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. CoRR abs/2311.00109 (2023) - [i7]Thomas Cook, Alan Mishler, Aaditya Ramdas:
Semiparametric Efficient Inference in Adaptive Experiments. CoRR abs/2311.18274 (2023) - 2022
- [c9]Alan Mishler, Edward H. Kennedy:
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes. FAccT 2022: 1053 - [i6]Alan Mishler, Niccolò Dalmasso:
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings. CoRR abs/2202.05049 (2022) - [i5]Raphael Sonabend, Florian Pfisterer, Alan Mishler, Moritz Schauer, Lukas Burk, Sebastian J. Vollmer:
Flexible Group Fairness Metrics for Survival Analysis. CoRR abs/2206.03256 (2022) - [i4]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 abs/2206.14853 (2022) - 2021
- [c8]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: 458-468 - [c7]Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova:
Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds. FAccT 2021: 386-400 - [i3]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 abs/2105.10174 (2021) - [i2]Alan Mishler, Edward H. Kennedy:
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes. CoRR abs/2109.00173 (2021) - 2020
- [c6]Amanda Coston, Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova:
Counterfactual risk assessments, evaluation, and fairness. FAT* 2020: 582-593
2010 – 2019
- 2019
- [c5]Alan Mishler:
Modeling Risk and Achieving Algorithmic Fairness Using Potential Outcomes. AIES 2019: 555-556 - 2017
- [c4]Alan Mishler, Kevin Wonus, Wendy Chambers, Michael Bloodgood:
Filtering Tweets for Social Unrest. ICSC 2017: 17-23 - [i1]Alan Mishler, Kevin Wonus, Wendy Chambers, Michael Bloodgood:
Filtering Tweets for Social Unrest. CoRR abs/1702.06216 (2017) - 2016
- [c3]J. Isaiah Harbison, Alan Mishler, Thomas S. Wallsten:
Modeling Triage Decision Making. CogSci 2016 - 2015
- [c2]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: 639-644 - [c1]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: 656-661
Coauthor Index
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last updated on 2025-02-08 00:53 CET by the dblp team
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