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ORCIDVijay Keswani
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2020 – today
- 2024
[c14]Vijay Keswani, Anay Mehrotra, L. Elisa Celis:
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach. ICML 2024- [i16]Vijay Keswani, Anay Mehrotra, L. Elisa Celis:
Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach. CoRR abs/2402.11338 (2024) - [i15]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 abs/2407.18889 (2024) - [i14]Kyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari, Walter Sinnott-Armstrong:
On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods. CoRR abs/2408.02862 (2024) - 2023
- [c13]Vijay Keswani
, L. Elisa Celis:
Addressing Strategic Manipulation Disparities in Fair Classification. EAAMO 2023: 30:1-30:11 - [c12]Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease:
Designing Closed-Loop Models for Task Allocation. HHAI 2023: 17-32 - [c11]Vijay Keswani:
Social Media Platform Structures and Their Implications (Short Paper). HHAI Workshops 2023: 126-131 - [i13]Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease:
Designing Closed-Loop Models for Task Allocation. CoRR abs/2305.19864 (2023) - 2022
- [c10]Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis:
Diverse Representation via Computational Participatory Elections - Lessons from a Case Study. EAAMO 2022: 12:1-12:11 - [c9]Vijay Keswani, Oren Mangoubi, Sushant Sachdeva, Nisheeth K. Vishnoi:
A Convergent and Dimension-Independent Min-Max Optimization Algorithm. ICML 2022: 10939-10973 - [i12]Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi:
Designing Closed Human-in-the-loop Deferral Pipelines. CoRR abs/2202.04718 (2022) - [i11]Vijay Keswani, L. Elisa Celis:
Addressing Strategic Manipulation Disparities in Fair Classification. CoRR abs/2205.10842 (2022) - [i10]Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis:
Diverse Representation via Computational Participatory Elections - Lessons from a Case Study. CoRR abs/2205.15394 (2022) - 2021
- [c8]Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi:
Towards Unbiased and Accurate Deferral to Multiple Experts. AIES 2021: 154-165 - [c7]L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees. ICML 2021: 1349-1361 - [c6]Vijay Keswani, L. Elisa Celis:
Auditing for Diversity Using Representative Examples. KDD 2021: 860-870 - [c5]Vijay Keswani, L. Elisa Celis:
Dialect Diversity in Text Summarization on Twitter. WWW 2021: 3802-3814 - [i9]Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi:
Towards Unbiased and Accurate Deferral to Multiple Experts. CoRR abs/2102.13004 (2021) - [i8]Vijay Keswani, L. Elisa Celis:
Auditing for Diversity using Representative Examples. CoRR abs/2107.07393 (2021) - 2020
- [j2]L. Elisa Celis, Vijay Keswani:
Implicit Diversity in Image Summarization. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 139:1-139:28 (2020) - [c4]L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi:
Data preprocessing to mitigate bias: A maximum entropy based approach. ICML 2020: 1349-1359 - [i7]L. Elisa Celis, Vijay Keswani:
Dialect Diversity in Text Summarization on Twitter. CoRR abs/2007.07860 (2020)
2010 – 2019
- 2019
- [j1]L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Vijay Keswani, Nisheeth K. Vishnoi:
A dashboard for controlling polarization in personalization. AI Commun. 32(1): 77-89 (2019) - [c3]L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. FAT 2019: 319-328 - [i6]L. Elisa Celis, Vijay Keswani:
Implicit Diversity in Image Summarization. CoRR abs/1901.10265 (2019) - [i5]L. Elisa Celis, Vijay Keswani:
Improved Adversarial Learning for Fair Classification. CoRR abs/1901.10443 (2019) - [i4]L. Elisa Celis, Vijay Keswani, Ozan Yildiz, Nisheeth K. Vishnoi:
Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework. CoRR abs/1906.02164 (2019) - 2018
- [c2]L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi:
Fair and Diverse DPP-Based Data Summarization. ICML 2018: 715-724 - [c1]Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis:
Balanced News Using Constrained Bandit-based Personalization. IJCAI 2018: 5835-5837 - [i3]L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi:
Fair and Diverse DPP-based Data Summarization. CoRR abs/1802.04023 (2018) - [i2]L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. CoRR abs/1806.06055 (2018) - [i1]Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis:
Balanced News Using Constrained Bandit-based Personalization. CoRR abs/1806.09202 (2018)
Coauthor Index
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