Vijay Keswani

40 papers A* 10C 1Journal 21Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
Moral Change or Noise? On Problems of Aligning AI with Temporally Unstable Human Feedback.
AAAI
Vijay Keswani, Cyrus Cousins, Breanna K. Nguyen, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2025 J jnl
Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions.
CoRR
Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong, Breanna K. Nguyen, Hoda Heidari, Jana Schaich Borg
2025 A* conf
Can AI Model the Complexities of Human Moral Decision-making? A Qualitative Study of Kidney Allocation Decisions.
CHI
Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong, Breanna K. Nguyen, Hoda Heidari, Jana Schaich Borg
2025 J jnl
Moral Change or Noise? On Problems of Aligning AI With Temporally Unstable Human Feedback.
CoRR
Vijay Keswani, Cyrus Cousins, Breanna K. Nguyen, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2025 J jnl
Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment.
CoRR
Cyrus Cousins, Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2024 — conf
Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles.
AIES (1)
Vijay Keswani, L. Elisa Celis
2024 A* conf
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach.
ICML
Vijay Keswani, Anay Mehrotra, L. Elisa Celis
2024 J jnl
Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach.
CoRR
Vijay Keswani, Anay Mehrotra, L. Elisa Celis
2024 — conf
On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods.
AIES (1)
Kyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari, Walter Sinnott-Armstrong
2024 J jnl
On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods.
CoRR
Kyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari, Walter Sinnott-Armstrong
2024 — conf
On the Pros and Cons of Active Learning for Moral Preference Elicitation.
AIES (1)
Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2024 J jnl
On the Pros and Cons of Active Learning for Moral Preference Elicitation.
CoRR
Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2023 — conf
Addressing Strategic Manipulation Disparities in Fair Classification.
EAAMO
Vijay Keswani, L. Elisa Celis
2023 — conf
Designing Closed-Loop Models for Task Allocation.
HHAI
Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease
2023 J jnl
Designing Closed-Loop Models for Task Allocation.
CoRR
Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease
2023 — conf
Social Media Platform Structures and Their Implications (Short Paper).
HHAI Workshops
Vijay Keswani
2022 A* conf
A Convergent and Dimension-Independent Min-Max Optimization Algorithm.
ICML
Vijay Keswani, Oren Mangoubi, Sushant Sachdeva, Nisheeth K. Vishnoi
2022 J jnl
Addressing Strategic Manipulation Disparities in Fair Classification.
CoRR
Vijay Keswani, L. Elisa Celis
2022 J jnl
Designing Closed Human-in-the-loop Deferral Pipelines.
CoRR
Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
2022 — conf
Diverse Representation via Computational Participatory Elections - Lessons from a Case Study.
EAAMO
Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis
2022 J jnl
Diverse Representation via Computational Participatory Elections - Lessons from a Case Study.
CoRR
Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis
2021 A* conf
Auditing for Diversity Using Representative Examples.
KDD
Vijay Keswani, L. Elisa Celis
2021 J jnl
Auditing for Diversity using Representative Examples.
CoRR
Vijay Keswani, L. Elisa Celis
2021 A* conf
Dialect Diversity in Text Summarization on Twitter.
WWW
Vijay Keswani, L. Elisa Celis
2021 A* conf
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees.
ICML
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
2021 C conf
Towards Unbiased and Accurate Deferral to Multiple Experts.
AIES
Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
2021 J jnl
Towards Unbiased and Accurate Deferral to Multiple Experts.
CoRR
Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
2020 A* conf
Data preprocessing to mitigate bias: A maximum entropy based approach.
ICML
L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi
2020 J jnl
Dialect Diversity in Text Summarization on Twitter.
CoRR
L. Elisa Celis, Vijay Keswani
2020 J jnl
Implicit Diversity in Image Summarization.
Proc. ACM Hum. Comput. Interact.
L. Elisa Celis, Vijay Keswani
2019 J jnl
A dashboard for controlling polarization in personalization.
AI Commun.
L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Vijay Keswani, Nisheeth K. Vishnoi
2019 — conf
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees.
FAT
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
2019 J jnl
Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework.
CoRR
L. Elisa Celis, Vijay Keswani, Ozan Yildiz, Nisheeth K. Vishnoi
2019 J jnl
Implicit Diversity in Image Summarization.
CoRR
L. Elisa Celis, Vijay Keswani
2019 J jnl
Improved Adversarial Learning for Fair Classification.
CoRR
L. Elisa Celis, Vijay Keswani
2018 A* conf
Balanced News Using Constrained Bandit-based Personalization.
IJCAI
Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis
2018 J jnl
Balanced News Using Constrained Bandit-based Personalization.
CoRR
Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis
2018 J jnl
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees.
CoRR
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
2018 A* conf
Fair and Diverse DPP-Based Data Summarization.
ICML
L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi
2018 J jnl
Fair and Diverse DPP-based Data Summarization.
CoRR
L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi