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Conference and Workshop Papers
- 2019
[c7]Avradeep Bhowmik, Minmin Chen, Zhengming Xing, Suju Rajan:
EstImAgg: A Learning Framework for Groupwise Aggregated Data. SDM 2019: 477-485- 2017
- [c6]Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo:
Frequency Domain Predictive Modelling with Aggregated Data. AISTATS 2017: 971-980 - [c5]Avradeep Bhowmik, Joydeep Ghosh:
LETOR Methods for Unsupervised Rank Aggregation. WWW 2017: 1331-1340 - 2016
- [c4]Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan:
Geometry Aware Mappings for High Dimensional Sparse Factors. AISTATS 2016: 455-463 - [c3]Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo:
Sparse Parameter Recovery from Aggregated Data. ICML 2016: 1090-1099 - 2015
- [c2]Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo:
Generalized Linear Models for Aggregated Data. AISTATS 2015 - 2014
- [c1]Avradeep Bhowmik, Vivek S. Borkar, Dinesh Garg, Madhavan Pallan:
Submodularity in Team Formation Problem. SDM 2014: 893-901
Informal and Other Publications
- 2020
- [i5]Sarkhan Badirli, Xuanqing Liu, Zhengming Xing, Avradeep Bhowmik, Sathiya S. Keerthi:
Gradient Boosting Neural Networks: GrowNet. CoRR abs/2002.07971 (2020) - [i4]Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy:
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space. CoRR abs/2003.11774 (2020) - 2016
- [i3]Avradeep Bhowmik, Joydeep Ghosh:
Monotone Retargeting for Unsupervised Rank Aggregation with Object Features. CoRR abs/1605.04465 (2016) - [i2]Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo:
Generalized Linear Models for Aggregated Data. CoRR abs/1605.04466 (2016) - [i1]Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan:
Geometry Aware Mappings for High Dimensional Sparse Factors. CoRR abs/1605.04764 (2016)
Coauthor Index
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