Suju Rajan

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 15

Top Topics

Aggregated Data

Computational Advertising

Stochastic Gradient

Top Venues

Publications

Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
AdKDD 2024. KDD (2024)
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
AdKDD 2023. KDD (2023)
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)
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan
AdKDD 2021. KDD (2021)
Avradeep Bhowmik, Minmin Chen, Zhengming Xing, Suju Rajan
EstImAgg: A Learning Framework for Groupwise Aggregated Data. SDM (2019)
Suju Rajan, Noureddine El Karoui
Auction Theory from the Bidder Standpoint. WWW (Companion Volume) (2019)
Suju Rajan
Computational Advertising at Scale. KDD (2018)
Suju Rajan
The Evolution of Computational Advertising. ICTIR (2017)
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan
Proceedings of the 2017 AdKDD & TargetAd Workshop. CoRR (2017)
Rose Yu, Andrew Gelfand, Suju Rajan, Cyrus Shahabi, Yan Liu
Geographic Segmentation via Latent Poisson Factor Model. WSDM (2016)
Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan
Geometry Aware Mappings for High Dimensional Sparse Factors. CoRR (2016)
Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan
Geometry Aware Mappings for High Dimensional Sparse Factors. AISTATS (2016)
Liangjie Hong, Yue Shi, Suju Rajan
Learning Optimal Card Ranking from Query Reformulation. CoRR (2016)
Yue Shi, Erheng Zhong, Suju Rajan, Liang Dong, Hao-wei Tseng, Beitao Li
The Apps You Use Bring The Blogs to Follow. CoRR (2016)
Erheng Zhong, Yue Shi, Nathan Liu, Suju Rajan
Scaling Factorization Machines with Parameter Server. CIKM (2016)
Mingjie Qian, Liangjie Hong, Yue Shi, Suju Rajan
Structured Sparse Regression for Recommender Systems. CIKM (2015)
Erheng Zhong, Nathan Liu, Yue Shi, Suju Rajan
Building Discriminative User Profiles for Large-scale Content Recommendation. KDD (2015)
Sungjin Ahn, Anoop Korattikara Balan, Nathan Liu, Suju Rajan, Max Welling
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. CoRR (2015)
Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. KDD (2015)
Xing Yi, Liangjie Hong, Erheng Zhong, Nathan Nan Liu, Suju Rajan
Beyond clicks: dwell time for personalization. RecSys (2014)
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)
Dragomir Yankov, Suju Rajan, Adwait Ratnaparkhi
Integer Programming for Multi-class Active Learning. ICDM Workshops (2010)
Suju Rajan, Dragomir Yankov, Scott Gaffney, Adwait Ratnaparkhi
A large-scale active learning system for topical categorization on the web. WWW (2010)
Lei Tang, Suju Rajan, Vijay K. Narayanan
Large scale multi-label classification via metalabeler. WWW (2009)
Kunal Punera, Suju Rajan
Improved Multi Label Classification in Hierarchical Taxonomies. ICDM Workshops (2009)
Suju Rajan, Joydeep Ghosh, Melba M. Crawford
An Active Learning Approach to Hyperspectral Data Classification. IEEE Trans. Geosci. Remote. Sens. 46 (4) (2008)
Kunal Punera, Suju Rajan, Joydeep Ghosh
Automatic Construction of N-ary Tree Based Taxonomies. ICDM Workshops (2006)
Suju Rajan, Joydeep Ghosh, Melba M. Crawford
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 44 (11-2) (2006)
Suju Rajan, Kunal Punera, Joydeep Ghosh
A Maximum Likelihood Framework for Integrating Taxonomies. AAAI (2005)
Suju Rajan, Joydeep Ghosh
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. Multiple Classifier Systems (2005)
Kunal Punera, Suju Rajan, Joydeep Ghosh
Automatically learning document taxonomies for hierarchical classification. WWW (Special interest tracks and posters) (2005)
Suju Rajan, Joydeep Ghosh
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems. Multiple Classifier Systems (2004)