Vijay Keswani

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Data Summarization

Preference Elicitation

Maximum Entropy

Top Venues

Publications

Vijay Keswani, Anay Mehrotra, L. Elisa Celis
Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach. CoRR (2024)
Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
On the Pros and Cons of Active Learning for Moral Preference Elicitation. CoRR (2024)
Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease
Designing Closed-Loop Models for Task Allocation. CoRR (2023)
Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease
Designing Closed-Loop Models for Task Allocation. HHAI (2023)
Vijay Keswani
Social Media Platform Structures and Their Implications (Short Paper). HHAI Workshops (2023)
Vijay Keswani, L. Elisa Celis
Addressing Strategic Manipulation Disparities in Fair Classification. EAAMO (2023)
Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis
Diverse Representation via Computational Participatory Elections - Lessons from a Case Study. EAAMO (2022)
Vijay Keswani, L. Elisa Celis
Addressing Strategic Manipulation Disparities in Fair Classification. CoRR (2022)
Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
Designing Closed Human-in-the-loop Deferral Pipelines. CoRR (2022)
Vijay Keswani, Oren Mangoubi, Sushant Sachdeva, Nisheeth K. Vishnoi
A Convergent and Dimension-Independent Min-Max Optimization Algorithm. ICML (2022)
Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis
Diverse Representation via Computational Participatory Elections - Lessons from a Case Study. CoRR (2022)
Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
Towards Unbiased and Accurate Deferral to Multiple Experts. CoRR (2021)
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees. ICML (2021)
Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
Towards Unbiased and Accurate Deferral to Multiple Experts. AIES (2021)
Vijay Keswani, L. Elisa Celis
Auditing for Diversity using Representative Examples. CoRR (2021)
Vijay Keswani, L. Elisa Celis
Auditing for Diversity Using Representative Examples. KDD (2021)
Vijay Keswani, L. Elisa Celis
Dialect Diversity in Text Summarization on Twitter. WWW (2021)
L. Elisa Celis, Vijay Keswani
Dialect Diversity in Text Summarization on Twitter. CoRR (2020)
L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi
Data preprocessing to mitigate bias: A maximum entropy based approach. ICML (2020)
L. Elisa Celis, Vijay Keswani
Implicit Diversity in Image Summarization. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
L. Elisa Celis, Vijay Keswani
Implicit Diversity in Image Summarization. CoRR (2019)
L. Elisa Celis, Vijay Keswani
Improved Adversarial Learning for Fair Classification. CoRR (2019)
L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Vijay Keswani, Nisheeth K. Vishnoi
A dashboard for controlling polarization in personalization. AI Commun. 32 (1) (2019)
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. FAT (2019)
L. Elisa Celis, Vijay Keswani, Ozan Yildiz, Nisheeth K. Vishnoi
Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework. CoRR (2019)
L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi
Fair and Diverse DPP-based Data Summarization. CoRR (2018)
Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis
Balanced News Using Constrained Bandit-based Personalization. IJCAI (2018)
Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis
Balanced News Using Constrained Bandit-based Personalization. CoRR (2018)
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. CoRR (2018)
L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi
Fair and Diverse DPP-Based Data Summarization. ICML (2018)