Scholar
Vijay Keswani
Google Scholar ID: 9Vifr8IAAAAJ
Duke University
Citations & Impact
Citations
1,009
H-index
9
i10-index
9
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published 'Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions' at CHI 2025.
- Published 'Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach' at ICML 2024.
- Two papers at AIES 2024: 'On the Pros and Cons of Active Learning for Moral Preference Elicitation' and 'Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles'.
- Co-authored 'On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods' at AIES 2024.
- Published 'Addressing Strategic Manipulation Disparities in Fair Classification' at EAAMO 2023.
- Published 'Social Media Platform Structures and Their Implications' at EcAI Workshop 2023.
- Published 'Designing Closed-Loop Models for Task Allocation' at HHAI 2023.
- Published 'Diverse Representation via Computational Participatory Elections – Lessons from a Case Study' at EAAMO 2022.
- Published 'A Convergent and Dimension-Independent Min-Max Optimization Algorithm' at ICML 2022.
- Published 'Designing human-in-the-loop approaches for closed deferral pipelines' at BHCC 2021 (non-archival).
- Published 'Auditing for Diversity using Representative Examples' at ACM SIGKDD 2021.
- Published 'Towards Unbiased and Accurate Deferral to Multiple Experts' at AIES 2021.
- Co-authored 'Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees' at ICML 2021.
- Published 'Dialect Diversity in Text Summarization on Twitter' at The Web Conference 2021.
- Co-authored 'Implicit Diversity in Image Summarization' at CSCW 2020.
- Co-authored 'Data preprocessing to mitigate bias: A maximum entropy based approach' at ICML 2020.
Education
- Ph.D. from the Department of Statistics and Data Science at Yale University, advised by Elisa Celis.
- Resident Fellow at the Information Society Project (ISP), Yale Law School (2022–2023).
- 2022 Policy Fellow at the Yale Institute for Social and Policy Studies (ISPS).
- Spent two years at École Polytechnique Fédérale de Lausanne (EPFL).
- Bachelor’s and Master’s degrees in Computer Science and Engineering from Indian Institute of Technology, Kanpur, working with Rajat Mittal.
Co-authors