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2020 – today
- 2024
[c25]Abraham Bagherjeiran
, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
AdKDD 2024. KDD 2024: 6706-6707- 2023
- [c24]Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
AdKDD 2023. KDD 2023: 5849-5850 - [e1]Abraham Bagherjeiran, Nemanja Djuric, Kuang-chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, August 7, 2023. CEUR Workshop Proceedings 3556, CEUR-WS.org 2023 [contents] - 2022
- [c23]Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie:
AdKDD 2022. KDD 2022: 4852-4853 - 2021
- [c22]Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan:
AdKDD 2021. KDD 2021: 4106-4107
2010 – 2019
- 2019
- [c21]Avradeep Bhowmik, Minmin Chen, Zhengming Xing, Suju Rajan:
EstImAgg: A Learning Framework for Groupwise Aggregated Data. SDM 2019: 477-485 - [c20]Suju Rajan, Noureddine El Karoui:
Auction Theory from the Bidder Standpoint. WWW (Companion Volume) 2019: 931 - 2018
- [c19]Suju Rajan:
Computational Advertising at Scale. KDD 2018: 2875 - 2017
- [c18]Suju Rajan:
The Evolution of Computational Advertising. ICTIR 2017: 99 - [i5]Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan:
Proceedings of the 2017 AdKDD & TargetAd Workshop. CoRR abs/1707.03471 (2017) - 2016
- [c17]Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan:
Geometry Aware Mappings for High Dimensional Sparse Factors. AISTATS 2016: 455-463 - [c16]Erheng Zhong, Yue Shi, Nathan Liu, Suju Rajan:
Scaling Factorization Machines with Parameter Server. CIKM 2016: 1583-1592 - [c15]Rose Yu, Andrew Gelfand, Suju Rajan, Cyrus Shahabi, Yan Liu:
Geographic Segmentation via Latent Poisson Factor Model. WSDM 2016: 357-366 - [i4]Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan:
Geometry Aware Mappings for High Dimensional Sparse Factors. CoRR abs/1605.04764 (2016) - [i3]Liangjie Hong, Yue Shi, Suju Rajan:
Learning Optimal Card Ranking from Query Reformulation. CoRR abs/1606.06816 (2016) - [i2]Yue Shi, Erheng Zhong, Suju Rajan, Liang Dong, Hao-wei Tseng, Beitao Li:
The Apps You Use Bring The Blogs to Follow. CoRR abs/1606.08406 (2016) - 2015
- [c14]Mingjie Qian, Liangjie Hong, Yue Shi, Suju Rajan:
Structured Sparse Regression for Recommender Systems. CIKM 2015: 1895-1898 - [c13]Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling:
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. KDD 2015: 9-18 - [c12]Erheng Zhong, Nathan Liu, Yue Shi, Suju Rajan:
Building Discriminative User Profiles for Large-scale Content Recommendation. KDD 2015: 2277-2286 - [i1]Sungjin Ahn, Anoop Korattikara Balan, Nathan Liu, Suju Rajan, Max Welling:
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. CoRR abs/1503.01596 (2015) - 2014
- [c11]Xing Yi, Liangjie Hong, Erheng Zhong, Nathan Nan Liu, Suju Rajan:
Beyond clicks: dwell time for personalization. RecSys 2014: 113-120 - 2011
- [c10]Srinivas Vadrevu, Choon Hui Teo, Suju Rajan, Kunal Punera, Byron Dom, Alexander J. Smola, Yi Chang, Zhaohui Zheng:
Scalable clustering of news search results. WSDM 2011: 675-684 - 2010
- [c9]Dragomir Yankov, Suju Rajan, Adwait Ratnaparkhi:
Integer Programming for Multi-class Active Learning. ICDM Workshops 2010: 1257-1264 - [c8]Suju Rajan, Dragomir Yankov, Scott Gaffney, Adwait Ratnaparkhi:
A large-scale active learning system for topical categorization on the web. WWW 2010: 791-800
2000 – 2009
- 2009
- [c7]Kunal Punera, Suju Rajan:
Improved Multi Label Classification in Hierarchical Taxonomies. ICDM Workshops 2009: 388-393 - [c6]Lei Tang, Suju Rajan, Vijay K. Narayanan:
Large scale multi-label classification via metalabeler. WWW 2009: 211-220 - 2008
- [j2]Suju Rajan, Joydeep Ghosh, Melba M. Crawford:
An Active Learning Approach to Hyperspectral Data Classification. IEEE Trans. Geosci. Remote. Sens. 46(4): 1231-1242 (2008) - 2006
- [j1]Suju Rajan, Joydeep Ghosh, Melba M. Crawford:
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 44(11-2): 3408-3417 (2006) - [c5]Kunal Punera, Suju Rajan, Joydeep Ghosh:
Automatic Construction of N-ary Tree Based Taxonomies. ICDM Workshops 2006: 75-79 - 2005
- [c4]Suju Rajan, Kunal Punera, Joydeep Ghosh:
A Maximum Likelihood Framework for Integrating Taxonomies. AAAI 2005: 856-861 - [c3]Suju Rajan, Joydeep Ghosh:
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. Multiple Classifier Systems 2005: 417-427 - [c2]Kunal Punera, Suju Rajan, Joydeep Ghosh:
Automatically learning document taxonomies for hierarchical classification. WWW (Special interest tracks and posters) 2005: 1010-1011 - 2004
- [c1]Suju Rajan, Joydeep Ghosh:
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems. Multiple Classifier Systems 2004: 283-292
Coauthor Index
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last updated on 2024-09-10 02:10 CEST by the dblp team
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