| Reputation-based worker filtering in crowdsourcing S Jagabathula, L Subramanian, A Venkataraman Advances in Neural Information Processing Systems 27, 2014 | 80 | 2014 |
| Predicting socio-economic indicators using news events S Chakraborty, A Venkataraman, S Jagabathula, L Subramanian Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 35 | 2016 |
| Identifying unreliable and adversarial workers in crowdsourced labeling tasks S Jagabathula, L Subramanian, A Venkataraman The Journal of Machine Learning Research 18 (1), 3233-3299, 2017 | 31 | 2017 |
| A conditional gradient approach for nonparametric estimation of mixing distributions S Jagabathula, L Subramanian, A Venkataraman Management Science 66 (8), 3635-3656, 2020 | 30 | 2020 |
| A model-based embedding technique for segmenting customers S Jagabathula, L Subramanian, A Venkataraman Operations Research 66 (5), 1247-1267, 2018 | 28* | 2018 |
| The generalized stochastic preference choice model G Berbeglia, A Venkataraman arXiv preprint arXiv:1803.04244, 2023 | 16 | 2023 |
| Estimating large-scale tree logit models S Jagabathula, P Rusmevichientong, A Venkataraman, X Zhao Operations Research, 2023 | 5* | 2023 |
| Collectiveteach: a system to generate and sequence web-annotated lesson plans R Ranawat, A Venkataraman, L Subramanian ACM SIGCAS Conference on Computing and Sustainable Societies, 1-13, 2021 | 4* | 2021 |
| An MM algorithm for estimating the MNL model with product features S Jagabathula, A Venkataraman Available at SSRN 3733971, 2020 | 2 | 2020 |
| Nonparametric Estimation of Choice Models S Jagabathula, A Venkataraman The Elements of Joint Learning and Optimization in Operations Management …, 2022 | 1* | 2022 |
| Price Optimization Under the Mixture of Boundary Logit Model MA Farzaneh, S Modaresi, A Venkataraman Available at SSRN 4357465, 2023 | | 2023 |
| Nonparametric Demand Estimation in the Presence of Unobserved Factors S Chitla, S Jagabathula, A Venkataraman Available at SSRN, 2022 | | 2022 |
| Data-Driven Probabilistic Framework for Student Learning A Venkataraman, R Ranawat, S Iyer, S Jagabathula, L Subramanian ICML/IJCAI/AAMAS Workshop on AI and Computational Psychology: Theories …, 2018 | | 2018 |
| Rethinking Customer Segmentation and Demand Learning in the Presence of Sparse, Diverse, and Large-Scale Data A Venkataraman New York University, 2018 | | 2018 |
| SoftMap: on minimizing software costs using VM consolidation A Venkataraman, A Verma, A Sen, V Jaiswal Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop …, 2013 | | 2013 |
Srikanth JagabathulaNYU Stern School of BusinessVerified email at stern.nyu.edu
