Vijay Keswani

According to our database, Vijay Keswani authored at least 23 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Can AI Model the Complexities of Human Moral Decision-making? A Qualitative Study of Kidney Allocation Decisions.

Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong, Breanna K. Nguyen, Hoda Heidari, Jana Schaich Borg

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach.

Vijay Keswani, Anay Mehrotra, L. Elisa Celis

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Pros and Cons of Active Learning for Moral Preference Elicitation.

Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles.

Vijay Keswani, L. Elisa Celis

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods.

Kyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari, Walter Sinnott-Armstrong

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

Designing Closed-Loop Models for Task Allocation.

Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease

Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Social Media Platform Structures and Their Implications (Short Paper).

Vijay Keswani

Proceedings of the Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2023), 2023

Addressing Strategic Manipulation Disparities in Fair Classification.

Vijay Keswani, L. Elisa Celis

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

Designing Closed Human-in-the-loop Deferral Pipelines.

Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi

CoRR, 2022

A Convergent and Dimension-Independent Min-Max Optimization Algorithm.

Vijay Keswani, Oren Mangoubi, Sushant Sachdeva, Nisheeth K. Vishnoi

Proceedings of the International Conference on Machine Learning, 2022

Diverse Representation via Computational Participatory Elections - Lessons from a Case Study.

Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

Dialect Diversity in Text Summarization on Twitter.

Vijay Keswani, L. Elisa Celis

Proceedings of the WWW '21: The Web Conference 2021, 2021

Auditing for Diversity Using Representative Examples.

Vijay Keswani, L. Elisa Celis

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees.

L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi

Proceedings of the 38th International Conference on Machine Learning, 2021

Towards Unbiased and Accurate Deferral to Multiple Experts.

Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi

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

2020

Implicit Diversity in Image Summarization.

L. Elisa Celis, Vijay Keswani

Proc. ACM Hum. Comput. Interact., 2020

Data preprocessing to mitigate bias: A maximum entropy based approach.

L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework.

L. Elisa Celis, Vijay Keswani, Ozan Yildiz, Nisheeth K. Vishnoi

CoRR, 2019

Improved Adversarial Learning for Fair Classification.

L. Elisa Celis, Vijay Keswani

CoRR, 2019

A dashboard for controlling polarization in personalization.

L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Vijay Keswani, Nisheeth K. Vishnoi

AI Commun., 2019

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees.

L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

Balanced News Using Constrained Bandit-based Personalization.

Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Fair and Diverse DPP-Based Data Summarization.

L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi

Proceedings of the 35th International Conference on Machine Learning, 2018