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Nisheeth K. Vishnoi
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Publications
- 2022
- [c73]Vijay Keswani, Oren Mangoubi, Sushant Sachdeva, Nisheeth K. Vishnoi:
A Convergent and Dimension-Independent Min-Max Optimization Algorithm. ICML 2022: 10939-10973 - 2021
- [c67]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 - 2020
- [c61]L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi:
Data preprocessing to mitigate bias: A maximum entropy based approach. ICML 2020: 1349-1359 - 2019
- [j15]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) - [c54]L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. FAT 2019: 319-328 - [i45]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
- [c42]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 - [c40]Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis:
Balanced News Using Constrained Bandit-based Personalization. IJCAI 2018: 5835-5837 - [i43]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) - [i39]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) - [i37]Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis:
Balanced News Using Constrained Bandit-based Personalization. CoRR abs/1806.09202 (2018)
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