Recognition of Similar Shaped Handwritten Characters Using Logistic Regression. - Kinjal Basu 001; Radhika Nangia; Umapada Pal 001 (Document Analysis Systems, 2012)

A spatio-spectral hybridization for edge preservation and noisy image restoration via local parametric mixtures and Lagrangian relaxation. - Kinjal Basu 001; Debapriya Sengupta (CoRR, 2012)

Quasi-Monte Carlo tractability of high dimensional integration over products of simplices. - Kinjal Basu 001 (J. Complex., 2015)

Low Discrepancy Constructions in the Triangle. - Kinjal Basu 001; Art B. Owen (SIAM J. Numer. Anal., 2015)

Quasi-Monte Carlo for an Integrand with a Singularity along a Diagonal in the Square. - Kinjal Basu 001; Art B. Owen (CoRR, 2016)

Almost empty monochromatic triangles in planar point sets. - Deepan Basu; Kinjal Basu 001; Bhaswar B. Bhattacharya; Sandip Das 001 (Discret. Appl. Math., 2016)

Transformations and Hardy-Krause Variation. - Kinjal Basu 001; Art B. Owen (SIAM J. Numer. Anal., 2016)

Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences. - Kinjal Basu 001; Ankan Saha; Shaunak Chatterjee (NIPS, 2017)

Scrambled Geometric Net Integration Over General Product Spaces. - Kinjal Basu 001; Art B. Owen (Found. Comput. Math., 2017)

Online Parameter Selection for Web-based Ranking Problems. - Deepak Agarwal; Kinjal Basu 001; Souvik Ghosh; Ying Xuan; Yang Yang 095; Liang Zhang 021 (KDD, 2018)

Personalization and Optimization of Decision Parameters via Heterogenous Causal Effects. - Ye Tu; Kinjal Basu 001; Jinyun Yan; Birjodh Tiwana; Shaunak Chatterjee (CoRR, 2019)

ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications. - Kinjal Basu 001; Amol Ghoting; Rahul Mazumder; Yao Pan (ICML, 2020)

Evaluating Fairness Using Permutation Tests. - Cyrus DiCiccio; Sriram Vasudevan; Kinjal Basu 001; Krishnaram Kenthapadi; Deepak Agarwal (KDD, 2020)

A/B Testing in Dense Large-Scale Networks: Design and Inference. - Preetam Nandy; Kinjal Basu 001; Shaunak Chatterjee; Ye Tu (NeurIPS, 2020)

Scalable Assessment and Mitigation Strategies for Fairness in Rankings. - Preetam Nandy; Amir Sepehri; Kinjal Basu 001; Heloise Logan; Deepak Agarwal; Noureddine El Karoui (CoRR, 2020)

A Framework for Fairness in Two-Sided Marketplaces. - Kinjal Basu 001; Cyrus DiCiccio; Heloise Logan; Noureddine El Karoui (CoRR, 2020)

Personalized Treatment Selection using Causal Heterogeneity. - Ye Tu; Kinjal Basu 001; Cyrus DiCiccio; Romil Bansal; Preetam Nandy; Padmini Jaikumar; Shaunak Chatterjee (WWW, 2021)

Efficient Algorithms for Global Inference in Internet Marketplaces. - Rohan Ramanath; S. Sathiya Keerthi; Yao Pan; Konstantin Salomatin; Kinjal Basu 001 (CoRR, 2021)

Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. - Rohan Ramanath; S. Sathiya Keerthi; Yao Pan; Konstantin Salomatin; Kinjal Basu 001 (AAAI, 2022)

Long-term Dynamics of Fairness Intervention in Connection Recommender Systems. - Nil-Jana Akpinar; Cyrus DiCiccio; Preetam Nandy; Kinjal Basu 001 (AIES, 2022)

Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱. - Preetam Nandy; Cyrus DiCiccio; Divya Venugopalan; Heloise Logan; Kinjal Basu 001; Noureddine El Karoui (FAccT, 2022)

Pushing the limits of fairness impossibility: Who's the fairest of them all? - Brian Hsu; Rahul Mazumder; Preetam Nandy; Kinjal Basu 001 (NeurIPS, 2022)

Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization. - David Durfee; Aman Gupta; Kinjal Basu 001 (CoRR, 2022)

Generalized Causal Tree for Uplift Modeling. - Preetam Nandy; Xiufan Yu; Wanjun Liu; Ye Tu; Kinjal Basu 001; Shaunak Chatterjee (IEEE Big Data, 2023)

Optimizing for Member Value in an Edge Building Marketplace. - Ayan Acharya; Siyuan Gao; Ankan Saha; Borja Ocejo; Kinjal Basu 001; Sathiya Keerthi Selvaraj; Rahul Mazumder; Aman Gupta; Parag Agrawal (CIKM, 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 001 (FAccT, 2023)

Detection and Mitigation of Algorithmic Bias via Predictive Parity. - Cyrus DiCiccio; Brian Hsu; YinYin Yu; Preetam Nandy; Kinjal Basu 001 (FAccT, 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 001; J. Kenneth Tay; Rupesh Gupta (KDD, 2023)

Promoting Inactive Members in Edge-Building Marketplace. - Ayan Acharya; Siyuan Gao; Borja Ocejo; Kinjal Basu 001; Ankan Saha; Sathiya Keerthi Selvaraj; Rahul Mazumder; Parag Agrawal; Aman Gupta (WWW (Companion Volume), 2023)

An Operational Perspective to Fairness Interventions: Where and How to Intervene. - Brian Hsu; Xiaotong Chen; Ying Han; Hongseok Namkoong; Kinjal Basu 001 (CoRR, 2023)