An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems. - Suju Rajan; Joydeep Ghosh (Multiple Classifier Systems, 2004)

A Maximum Likelihood Framework for Integrating Taxonomies. - Suju Rajan; Kunal Punera; Joydeep Ghosh (AAAI, 2005)

Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. - Suju Rajan; Joydeep Ghosh (Multiple Classifier Systems, 2005)

Automatically learning document taxonomies for hierarchical classification. - Kunal Punera; Suju Rajan; Joydeep Ghosh (WWW (Special interest tracks and posters), 2005)

Automatic Construction of N-ary Tree Based Taxonomies. - Kunal Punera; Suju Rajan; Joydeep Ghosh (ICDM Workshops, 2006)

Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. - Suju Rajan; Joydeep Ghosh; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2006)

An Active Learning Approach to Hyperspectral Data Classification. - Suju Rajan; Joydeep Ghosh; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2008)

Improved Multi Label Classification in Hierarchical Taxonomies. - Kunal Punera; Suju Rajan (ICDM Workshops, 2009)

Large scale multi-label classification via metalabeler. - Lei Tang; Suju Rajan; Vijay K. Narayanan (WWW, 2009)

Integer Programming for Multi-class Active Learning. - Dragomir Yankov; Suju Rajan; Adwait Ratnaparkhi (ICDM Workshops, 2010)

A large-scale active learning system for topical categorization on the web. - Suju Rajan; Dragomir Yankov; Scott Gaffney; Adwait Ratnaparkhi (WWW, 2010)

Scalable clustering of news search results. - Srinivas Vadrevu; Choon Hui Teo; Suju Rajan; Kunal Punera; Byron Dom; Alexander J. Smola; Yi Chang 001; Zhaohui Zheng 001 (WSDM, 2011)

Beyond clicks: dwell time for personalization. - Xing Yi; Liangjie Hong; Erheng Zhong; Nathan Nan Liu; Suju Rajan (RecSys, 2014)

Structured Sparse Regression for Recommender Systems. - Mingjie Qian; Liangjie Hong; Yue Shi 002; Suju Rajan (CIKM, 2015)

Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. - Sungjin Ahn; Anoop Korattikara; Nathan Liu; Suju Rajan; Max Welling (KDD, 2015)

Building Discriminative User Profiles for Large-scale Content Recommendation. - Erheng Zhong; Nathan Liu; Yue Shi 002; Suju Rajan (KDD, 2015)

Geometry Aware Mappings for High Dimensional Sparse Factors. - Avradeep Bhowmik; Nathan Liu; Erheng Zhong; Badri Narayan Bhaskar; Suju Rajan (AISTATS, 2016)

Scaling Factorization Machines with Parameter Server. - Erheng Zhong; Yue Shi 002; Nathan Liu; Suju Rajan (CIKM, 2016)

Geographic Segmentation via Latent Poisson Factor Model. - Rose Yu; Andrew Gelfand; Suju Rajan; Cyrus Shahabi; Yan Liu 002 (WSDM, 2016)

Learning Optimal Card Ranking from Query Reformulation. - Liangjie Hong; Yue Shi 002; Suju Rajan (CoRR, 2016)

The Apps You Use Bring The Blogs to Follow. - Yue Shi 002; Erheng Zhong; Suju Rajan; Liang Dong; Hao-wei Tseng; Beitao Li (CoRR, 2016)

The Evolution of Computational Advertising. - Suju Rajan (ICTIR, 2017)

Proceedings of the 2017 AdKDD & TargetAd Workshop. - Abraham Bagherjeiran; Nemanja Djuric; Mihajlo Grbovic; Kuang-Chih Lee; Kun Liu; Vladan Radosavljevic; Suju Rajan (CoRR, 2017)

Computational Advertising at Scale. - Suju Rajan (KDD, 2018)

EstImAgg: A Learning Framework for Groupwise Aggregated Data. - Avradeep Bhowmik; Minmin Chen; Zhengming Xing; Suju Rajan (SDM, 2019)

Auction Theory from the Bidder Standpoint. - Suju Rajan; Noureddine El Karoui (WWW (Companion Volume), 2019)

AdKDD 2021. - Abraham Bagherjeiran; Nemanja Djuric; Mihajlo Grbovic; Kuang-chih Lee; Kun Liu; Vladan Radosavljevic; Suju Rajan (KDD, 2021)

AdKDD 2022. - Abraham Bagherjeiran; Nemanja Djuric; Mihajlo Grbovic; Kuang-Chih Lee; Kun Liu; Wei Liu 007; Linsey Pang; Vladan Radosavljevic; Suju Rajan; Kexin Xie (KDD, 2022)

AdKDD 2023. - Abraham Bagherjeiran; Nemanja Djuric; Kuang-Chih Lee; Linsey Pang; Vladan Radosavljevic; Suju Rajan (KDD, 2023)

AdKDD 2024. - Abraham Bagherjeiran; Nemanja Djuric; Kuang-Chih Lee; Linsey Pang; Vladan Radosavljevic; Suju Rajan (KDD, 2024)