Kinjal Basu

35 papers A* 8A 1B 2C 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
An Operational Perspective to Fairness Interventions: Where and How to Intervene.
CoRR
Brian Hsu, Xiaotong Chen, Ying Han, Hongseok Namkoong, Kinjal Basu
2023 — conf
Detection and Mitigation of Algorithmic Bias via Predictive Parity.
FAccT
Cyrus DiCiccio, Brian Hsu, YinYin Yu, Preetam Nandy, Kinjal Basu
2023 — conf
Disentangling and Operationalizing AI Fairness at LinkedIn.
FAccT
Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu
2023 J jnl
Disentangling and Operationalizing AI Fairness at LinkedIn.
CoRR
Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Robert Hallman, Kinjal Basu
2023 B conf
Generalized Causal Tree for Uplift Modeling.
IEEE Big Data
Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee
2023 A conf
Optimizing for Member Value in an Edge Building Marketplace.
CIKM
Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal
2023 A* conf
Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference.
KDD
Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta
2023 — conf
Promoting Inactive Members in Edge-Building Marketplace.
WWW (Companion Volume)
Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta
2022 — conf
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱.
FAccT
Preetam Nandy, Cyrus DiCiccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, Noureddine El Karoui
2022 A* conf
Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications.
AAAI
Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu
2022 J jnl
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization.
CoRR
David Durfee, Aman Gupta, Kinjal Basu
2022 C conf
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems.
AIES
Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu
2022 J jnl
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems.
CoRR
Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu
2022 A* conf
Pushing the limits of fairness impossibility: Who's the fairest of them all?
NeurIPS
Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu
2022 J jnl
Pushing the limits of fairness impossibility: Who's the fairest of them all?
CoRR
Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu
2021 J jnl
Efficient Algorithms for Global Inference in Internet Marketplaces.
CoRR
Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu
2021 A* conf
Personalized Treatment Selection using Causal Heterogeneity.
WWW
Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal, Preetam Nandy, Padmini Jaikumar, Shaunak Chatterjee
2020 J jnl
A Framework for Fairness in Two-Sided Marketplaces.
CoRR
Kinjal Basu, Cyrus DiCiccio, Heloise Logan, Noureddine El Karoui
2020 A* conf
A/B Testing in Dense Large-Scale Networks: Design and Inference.
NeurIPS
Preetam Nandy, Kinjal Basu, Shaunak Chatterjee, Ye Tu
2020 A* conf
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications.
ICML
Kinjal Basu, Amol Ghoting, Rahul Mazumder, Yao Pan
2020 A* conf
Evaluating Fairness Using Permutation Tests.
KDD
Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal
2020 J jnl
Scalable Assessment and Mitigation Strategies for Fairness in Rankings.
CoRR
Preetam Nandy, Amir Sepehri, Kinjal Basu, Heloise Logan, Deepak Agarwal, Noureddine El Karoui
2019 J jnl
Personalization and Optimization of Decision Parameters via Heterogenous Causal Effects.
CoRR
Ye Tu, Kinjal Basu, Jinyun Yan, Birjodh Singh Tiwana, Shaunak Chatterjee
2018 A* conf
Online Parameter Selection for Web-based Ranking Problems.
KDD
Deepak Agarwal, Kinjal Basu, Souvik Ghosh, Ying Xuan, Yang Yang, Liang Zhang
2017 — conf
Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences.
NIPS
Kinjal Basu, Ankan Saha, Shaunak Chatterjee
2017 J jnl
Scrambled Geometric Net Integration Over General Product Spaces.
Found. Comput. Math.
Kinjal Basu, Art B. Owen
2016 J jnl
Almost empty monochromatic triangles in planar point sets.
Discret. Appl. Math.
Deepan Basu, Kinjal Basu, Bhaswar B. Bhattacharya, Sandip Das
2016 J jnl
Quasi-Monte Carlo for an Integrand with a Singularity along a Diagonal in the Square.
CoRR
Kinjal Basu, Art B. Owen
2016 J jnl
Transformations and Hardy-Krause Variation.
SIAM J. Numer. Anal.
Kinjal Basu, Art B. Owen
2015 J jnl
Low Discrepancy Constructions in the Triangle.
SIAM J. Numer. Anal.
Kinjal Basu, Art B. Owen
2015 J jnl
Quasi-Monte Carlo tractability of high dimensional integration over products of simplices.
J. Complex.
Kinjal Basu
2015 J jnl
Scrambled geometric net integration over general product spaces.
CoRR
Kinjal Basu, Art B. Owen
2014 J jnl
Low discrepancy constructions in the triangle.
CoRR
Kinjal Basu, Art B. Owen
2012 J jnl
A spatio-spectral hybridization for edge preservation and noisy image restoration via local parametric mixtures and Lagrangian relaxation.
CoRR
Kinjal Basu, Debapriya Sengupta
2012 B conf
Recognition of Similar Shaped Handwritten Characters Using Logistic Regression.
Document Analysis Systems
Kinjal Basu, Radhika Nangia, Umapada Pal