Gradient boosting neural networks: Grownet S Badirli, X Liu, Z Xing, A Bhowmik, K Doan, SS Keerthi arXiv preprint arXiv:2002.07971, 2020 | 42 | 2020 |
Submodularity in team formation problem A Bhowmik, V Borkar, D Garg, M Pallan Proceedings of the 2014 SIAM international conference on data mining, 893-901, 2014 | 38 | 2014 |
Generalized linear models for aggregated data A Bhowmik, J Ghosh, O Koyejo Artificial Intelligence and Statistics, 93-101, 2015 | 20 | 2015 |
Letor methods for unsupervised rank aggregation A Bhowmik, J Ghosh Proceedings of the 26th international conference on world wide web, 1331-1340, 2017 | 19 | 2017 |
EstImAgg: A Learning Framework for Groupwise Aggregated Data A Bhowmik, M Chen, Z Xing, S Rajan Proceedings of the 2019 SIAM International Conference on Data Mining, 477-485, 2019 | 8 | 2019 |
Sparse parameter recovery from aggregated data A Bhowmik, J Ghosh, O Koyejo International Conference on Machine Learning, 1090-1099, 2016 | 8 | 2016 |
Image Generation Via Minimizing Fr\'echet Distance in Discriminator Feature Space KD Doan, S Manchanda, F Wang, S Keerthi, A Bhowmik, CK Reddy arXiv preprint arXiv:2003.11774, 2020 | 7 | 2020 |
Geometry aware mappings for high dimensional sparse factors A Bhowmik, N Liu, E Zhong, B Bhaskar, S Rajan Artificial Intelligence and Statistics, 455-463, 2016 | 6 | 2016 |
Learning from aggregated data A Bhowmik The University of Texas at Austin, 2018 | 3 | 2018 |
Frequency domain predictive modelling with aggregated data A Bhowmik, J Ghosh, O Koyejo Artificial Intelligence and Statistics, 971-980, 2017 | 3 | 2017 |
Aggregation for Sensitive Data A Bhowmik, J Ghosh, O Koyejo 2019 13th International conference on Sampling Theory and Applications …, 2019 | | 2019 |
Monotone Retargeting for Unsupervised Rank Aggregation with Object Features A Bhowmik, J Ghosh arXiv preprint arXiv:1605.04465, 2016 | | 2016 |
EstImAgg: A Learning Framework for Groupwise Aggregated Data: Supplement A Bhowmik, M Chen, Z Xing, S Rajan | | |