Stop the war!
Остановите войну!
for scientists:
default search action
Search dblp for Publications
export results for "author:Avradeep_Bhowmik:"
@article{DBLP:journals/corr/abs-2002-07971, author = {Sarkhan Badirli and Xuanqing Liu and Zhengming Xing and Avradeep Bhowmik and Sathiya S. Keerthi}, title = {Gradient Boosting Neural Networks: GrowNet}, journal = {CoRR}, volume = {abs/2002.07971}, year = {2020}, url = {https://arxiv.org/abs/2002.07971}, eprinttype = {arXiv}, eprint = {2002.07971}, timestamp = {Mon, 02 Mar 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2002-07971.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2003-11774, author = {Khoa D. Doan and Saurav Manchanda and Fengjiao Wang and S. Sathiya Keerthi and Avradeep Bhowmik and Chandan K. Reddy}, title = {Image Generation Via Minimizing Fr{\'{e}}chet Distance in Discriminator Feature Space}, journal = {CoRR}, volume = {abs/2003.11774}, year = {2020}, url = {https://arxiv.org/abs/2003.11774}, eprinttype = {arXiv}, eprint = {2003.11774}, timestamp = {Wed, 01 Apr 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2003-11774.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/sdm/BhowmikCXR19, author = {Avradeep Bhowmik and Minmin Chen and Zhengming Xing and Suju Rajan}, editor = {Tanya Y. Berger{-}Wolf and Nitesh V. Chawla}, title = {EstImAgg: {A} Learning Framework for Groupwise Aggregated Data}, booktitle = {Proceedings of the 2019 {SIAM} International Conference on Data Mining, {SDM} 2019, Calgary, Alberta, Canada, May 2-4, 2019}, pages = {477--485}, publisher = {{SIAM}}, year = {2019}, url = {https://doi.org/10.1137/1.9781611975673.54}, doi = {10.1137/1.9781611975673.54}, timestamp = {Fri, 04 Oct 2019 16:53:59 +0200}, biburl = {https://dblp.org/rec/conf/sdm/BhowmikCXR19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aistats/BhowmikGK17, author = {Avradeep Bhowmik and Joydeep Ghosh and Oluwasanmi Koyejo}, editor = {Aarti Singh and Xiaojin (Jerry) Zhu}, title = {Frequency Domain Predictive Modelling with Aggregated Data}, booktitle = {Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, {AISTATS} 2017, 20-22 April 2017, Fort Lauderdale, FL, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {54}, pages = {971--980}, publisher = {{PMLR}}, year = {2017}, url = {http://proceedings.mlr.press/v54/bhowmik17a.html}, timestamp = {Wed, 29 May 2019 08:41:44 +0200}, biburl = {https://dblp.org/rec/conf/aistats/BhowmikGK17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/www/BhowmikG17, author = {Avradeep Bhowmik and Joydeep Ghosh}, editor = {Rick Barrett and Rick Cummings and Eugene Agichtein and Evgeniy Gabrilovich}, title = {{LETOR} Methods for Unsupervised Rank Aggregation}, booktitle = {Proceedings of the 26th International Conference on World Wide Web, {WWW} 2017, Perth, Australia, April 3-7, 2017}, pages = {1331--1340}, publisher = {{ACM}}, year = {2017}, url = {https://doi.org/10.1145/3038912.3052689}, doi = {10.1145/3038912.3052689}, timestamp = {Tue, 06 Nov 2018 16:57:07 +0100}, biburl = {https://dblp.org/rec/conf/www/BhowmikG17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aistats/BhowmikLZBR16, author = {Avradeep Bhowmik and Nathan Liu and Erheng Zhong and Badri Narayan Bhaskar and Suju Rajan}, editor = {Arthur Gretton and Christian C. Robert}, title = {Geometry Aware Mappings for High Dimensional Sparse Factors}, booktitle = {Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, {AISTATS} 2016, Cadiz, Spain, May 9-11, 2016}, series = {{JMLR} Workshop and Conference Proceedings}, volume = {51}, pages = {455--463}, publisher = {JMLR.org}, year = {2016}, url = {http://proceedings.mlr.press/v51/bhowmik16.html}, timestamp = {Wed, 29 May 2019 08:41:44 +0200}, biburl = {https://dblp.org/rec/conf/aistats/BhowmikLZBR16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/BhowmikGK16, author = {Avradeep Bhowmik and Joydeep Ghosh and Oluwasanmi Koyejo}, editor = {Maria{-}Florina Balcan and Kilian Q. Weinberger}, title = {Sparse Parameter Recovery from Aggregated Data}, booktitle = {Proceedings of the 33nd International Conference on Machine Learning, {ICML} 2016, New York City, NY, USA, June 19-24, 2016}, series = {{JMLR} Workshop and Conference Proceedings}, volume = {48}, pages = {1090--1099}, publisher = {JMLR.org}, year = {2016}, url = {http://proceedings.mlr.press/v48/bhowmik16.html}, timestamp = {Wed, 29 May 2019 08:41:46 +0200}, biburl = {https://dblp.org/rec/conf/icml/BhowmikGK16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/BhowmikG16, author = {Avradeep Bhowmik and Joydeep Ghosh}, title = {Monotone Retargeting for Unsupervised Rank Aggregation with Object Features}, journal = {CoRR}, volume = {abs/1605.04465}, year = {2016}, url = {http://arxiv.org/abs/1605.04465}, eprinttype = {arXiv}, eprint = {1605.04465}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/BhowmikG16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/BhowmikGK16, author = {Avradeep Bhowmik and Joydeep Ghosh and Oluwasanmi Koyejo}, title = {Generalized Linear Models for Aggregated Data}, journal = {CoRR}, volume = {abs/1605.04466}, year = {2016}, url = {http://arxiv.org/abs/1605.04466}, eprinttype = {arXiv}, eprint = {1605.04466}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/BhowmikGK16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/BhowmikLZBR16, author = {Avradeep Bhowmik and Nathan Liu and Erheng Zhong and Badri Narayan Bhaskar and Suju Rajan}, title = {Geometry Aware Mappings for High Dimensional Sparse Factors}, journal = {CoRR}, volume = {abs/1605.04764}, year = {2016}, url = {http://arxiv.org/abs/1605.04764}, eprinttype = {arXiv}, eprint = {1605.04764}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/BhowmikLZBR16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aistats/BhowmikGK15, author = {Avradeep Bhowmik and Joydeep Ghosh and Oluwasanmi Koyejo}, editor = {Guy Lebanon and S. V. N. Vishwanathan}, title = {Generalized Linear Models for Aggregated Data}, booktitle = {Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2015, San Diego, California, USA, May 9-12, 2015}, series = {{JMLR} Workshop and Conference Proceedings}, volume = {38}, publisher = {JMLR.org}, year = {2015}, url = {http://proceedings.mlr.press/v38/bhowmik15.html}, timestamp = {Wed, 29 May 2019 08:41:44 +0200}, biburl = {https://dblp.org/rec/conf/aistats/BhowmikGK15.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/sdm/BhowmikBGP14, author = {Avradeep Bhowmik and Vivek S. Borkar and Dinesh Garg and Madhavan Pallan}, editor = {Mohammed Javeed Zaki and Zoran Obradovic and Pang{-}Ning Tan and Arindam Banerjee and Chandrika Kamath and Srinivasan Parthasarathy}, title = {Submodularity in Team Formation Problem}, booktitle = {Proceedings of the 2014 {SIAM} International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014}, pages = {893--901}, publisher = {{SIAM}}, year = {2014}, url = {https://doi.org/10.1137/1.9781611973440.102}, doi = {10.1137/1.9781611973440.102}, timestamp = {Fri, 06 Oct 2023 11:45:43 +0200}, biburl = {https://dblp.org/rec/conf/sdm/BhowmikBGP14.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.