Kinjal Basu

According to our database, Kinjal Basu authored at least 30 papers between 2012 and 2023.

Collaborative distances:

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

2023

An Operational Perspective to Fairness Interventions: Where and How to Intervene.

Brian Hsu, Xiaotong Chen, Ying Han, Hongseok Namkoong, Kinjal Basu

CoRR, 2023

Promoting Inactive Members in Edge-Building Marketplace.

Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference.

Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Detection and Mitigation of Algorithmic Bias via Predictive Parity.

Cyrus DiCiccio, Brian Hsu, YinYin Yu, Preetam Nandy, Kinjal Basu

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Disentangling and Operationalizing AI Fairness at LinkedIn.

Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Optimizing for Member Value in an Edge Building Marketplace.

Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Generalized Causal Tree for Uplift Modeling.

Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization.

David Durfee, Aman Gupta, Kinjal Basu

CoRR, 2022

Pushing the limits of fairness impossibility: Who's the fairest of them all?

Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱.

Preetam Nandy, Cyrus DiCiccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, Noureddine El Karoui

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Long-term Dynamics of Fairness Intervention in Connection Recommender Systems.

Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications.

Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Efficient Algorithms for Global Inference in Internet Marketplaces.

Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu

CoRR, 2021

Personalized Treatment Selection using Causal Heterogeneity.

Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal, Preetam Nandy, Padmini Jaikumar, Shaunak Chatterjee

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

2020

A Framework for Fairness in Two-Sided Marketplaces.

Kinjal Basu, Cyrus DiCiccio, Heloise Logan, Noureddine El Karoui

CoRR, 2020

Scalable Assessment and Mitigation Strategies for Fairness in Rankings.

Preetam Nandy, Amir Sepehri, Kinjal Basu, Heloise Logan, Deepak Agarwal, Noureddine El Karoui

CoRR, 2020

A/B Testing in Dense Large-Scale Networks: Design and Inference.

Preetam Nandy, Kinjal Basu, Shaunak Chatterjee, Ye Tu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evaluating Fairness Using Permutation Tests.

Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications.

Kinjal Basu, Amol Ghoting, Rahul Mazumder, Yao Pan

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

2019

Personalization and Optimization of Decision Parameters via Heterogenous Causal Effects.

Ye Tu, Kinjal Basu, Jinyun Yan, Birjodh Tiwana, Shaunak Chatterjee

CoRR, 2019

2018

Online Parameter Selection for Web-based Ranking Problems.

Deepak Agarwal, Kinjal Basu, Souvik Ghosh, Ying Xuan, Yang Yang, Liang Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Scrambled Geometric Net Integration Over General Product Spaces.

Kinjal Basu, Art B. Owen

Found. Comput. Math., 2017

Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences.

Kinjal Basu, Ankan Saha, Shaunak Chatterjee

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Transformations and Hardy-Krause Variation.

Kinjal Basu, Art B. Owen

SIAM J. Numer. Anal., 2016

Almost empty monochromatic triangles in planar point sets.

Deepan Basu, Kinjal Basu, Bhaswar B. Bhattacharya, Sandip Das

Discret. Appl. Math., 2016

Quasi-Monte Carlo for an Integrand with a Singularity along a Diagonal in the Square.

Kinjal Basu, Art B. Owen

CoRR, 2016

2015

Low Discrepancy Constructions in the Triangle.

Kinjal Basu, Art B. Owen

SIAM J. Numer. Anal., 2015

Quasi-Monte Carlo tractability of high dimensional integration over products of simplices.

Kinjal Basu

J. Complex., 2015

2012

A spatio-spectral hybridization for edge preservation and noisy image restoration via local parametric mixtures and Lagrangian relaxation.

Kinjal Basu, Debapriya Sengupta

CoRR, 2012

Recognition of Similar Shaped Handwritten Characters Using Logistic Regression.

Kinjal Basu, Radhika Nangia, Umapada Pal

Proceedings of the 10th IAPR International Workshop on Document Analysis Systems, 2012