| Low discrepancy constructions in the triangle K Basu, AB Owen SIAM Journal on Numerical Analysis 53 (2), 743-761, 2015 | 28 | 2015 |
| Knowledge-driven natural language understanding of english text and its applications K Basu, SC Varanasi, F Shakerin, J Arias, G Gupta Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12554 …, 2021 | 24 | 2021 |
| Transformations and Hardy--Krause variation K Basu, AB Owen SIAM Journal on Numerical Analysis 54 (3), 1946-1966, 2016 | 23 | 2016 |
| Evaluating fairness using permutation tests C DiCiccio, S Vasudevan, K Basu, K Kenthapadi, D Agarwal Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 19 | 2020 |
| Analysis of thompson sampling for gaussian process optimization in the bandit setting K Basu, S Ghosh arXiv preprint arXiv:1705.06808, 2017 | 19 | 2017 |
| Online parameter selection for web-based ranking problems D Agarwal, K Basu, S Ghosh, Y Xuan, Y Yang, L Zhang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 17 | 2018 |
| A/B testing in dense large-scale networks: design and inference P Nandy, K Basu, S Chatterjee, Y Tu Advances in Neural Information Processing Systems 33, 2870-2880, 2020 | 14 | 2020 |
| Recognition of similar shaped handwritten characters using logistic regression K Basu, R Nangia, U Pal 2012 10th IAPR International Workshop on Document Analysis Systems, 200-204, 2012 | 13 | 2012 |
| Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱ P Nandy, C Diciccio, D Venugopalan, H Logan, K Basu, N El Karoui 2022 ACM Conference on Fairness, Accountability, and Transparency, 715-725, 2022 | 12 | 2022 |
| Permutation p-value approximation via generalized Stolarsky invariance HY He, K Basu, Q Zhao, AB Owen The Annals of Statistics 47 (1), 583-611, 2019 | 12 | 2019 |
| Eclipse: An extreme-scale linear program solver for web-applications K Basu, A Ghoting, R Mazumder, Y Pan International Conference on Machine Learning, 704-714, 2020 | 11 | 2020 |
| Large-scale quadratically constrained quadratic program via low-discrepancy sequences K Basu, A Saha, S Chatterjee Advances in Neural Information Processing Systems 30, 2017 | 11 | 2017 |
| Knowledge-assisted reasoning of model-augmented system requirements with event calculus and goal-directed answer set programming B Hall, SC Varanasi, J Fiedor, J Arias, K Basu, F Li, D Bhatt, K Driscoll, ... arXiv preprint arXiv:2109.04634, 2021 | 10 | 2021 |
| A framework for fairness in two-sided marketplaces K Basu, C DiCiccio, H Logan, NE Karoui arXiv preprint arXiv:2006.12756, 2020 | 9 | 2020 |
| Optimal convergence for stochastic optimization with multiple expectation constraints K Basu, P Nandy arXiv preprint arXiv:1906.03401, 2019 | 9 | 2019 |
| Scrambled geometric net integration over general product spaces K Basu, AB Owen Foundations of Computational Mathematics 17, 467-496, 2017 | 9 | 2017 |
| Tests for exponentiality against NBUE alternatives: a Monte Carlo comparison MZ Anis, K Basu Taylor & Francis, 2012 | 8 | 2012 |
| Personalized treatment selection using causal heterogeneity Y Tu, K Basu, C DiCiccio, R Bansal, P Nandy, P Jaikumar, S Chatterjee Proceedings of the Web Conference 2021, 1574-1585, 2021 | 7 | 2021 |
| Modular autotune for automated feed model training K Basu, Y Ouyang, B Chen, Z Zhang US Patent App. 16/231,199, 2020 | 7 | 2020 |
| Populating a user interface using quadratic constraints K Basu, S Chatterjee, A Saha US Patent App. 15/794,872, 2019 | 7 | 2019 |
Shaunak ChatterjeeDirector of Engineering, AI at LinkedinVerified email at cs.berkeley.edu
