Semi-supervised multi-task learning of structured prediction models for web information extraction. - Paramveer S. Dhillon; Sundararajan Sellamanickam; Sathiya Keerthi Selvaraj (CIKM, 2011)

A pairwise ranking based approach to learning with positive and unlabeled examples. - Sundararajan Sellamanickam; Priyanka Garg; Sathiya Keerthi Selvaraj (CIKM, 2011)

Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset. - Sathiya Keerthi Selvaraj; Bigyan Bhar; Sundararajan Sellamanickam; Shirish K. Shevade (CIKM, 2011)

A joint learning framework for attribute models and object descriptions. - Dhruv Kumar Mahajan; Sundararajan Sellamanickam; Vinod Nair (ICCV, 2011)

A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection. - Dinesh Garg; Sundararajan Sellamanickam; Shirish K. Shevade (PAKDD (1), 2011)

A classification based framework for concept summarization. - Dhruv Kumar Mahajan; Sundararajan Sellamanickam; Subhajit Sanyal; Amit Madaan (WWW (Companion Volume), 2011)

Web information extraction using Markov logic networks. - Sandeepkumar Satpal; Sahely Bhadra; Sundararajan Sellamanickam; Rajeev Rastogi; Prithviraj Sen (WWW (Companion Volume), 2011)

Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses. - Sathiya Keerthi Selvaraj; Sundararajan Sellamanickam; Shirish K. Shevade (COLING (Posters), 2012)

Learning hierarchical similarity metrics. - Nakul Verma; Dhruv Mahajan 001; Sundararajan Sellamanickam; Vinod Nair (CVPR, 2012)

Regularized Structured Output Learning with Partial Labels. - Sundararajan Sellamanickam; Charu Tiwari; Sathiya Keerthi Selvaraj (SDM, 2012)

A unified approach to learning task-specific bit vector representations for fast nearest neighbor search. - Vinod Nair; Dhruv Kumar Mahajan; Sundararajan Sellamanickam (WWW, 2012)

Graph Based Classification Methods Using Inaccurate External Classifier Information - Sundararajan Sellamanickam; Sathiya Keerthi Selvaraj (CoRR, 2012)

Transductive Classification Methods for Mixed Graphs - Sundararajan Sellamanickam; Sathiya Keerthi Selvaraj (CoRR, 2012)

An Additive Model View to Sparse Gaussian Process Classifier Design - Sundararajan Sellamanickam; Shirish K. Shevade (CoRR, 2012)

Predictive Approaches For Gaussian Process Classifier Model Selection - Sundararajan Sellamanickam; Sathiya Keerthi Selvaraj (CoRR, 2012)

Deterministic Annealing for Semi-Supervised Structured Output Learning. - Paramveer S. Dhillon; S. Sathiya Keerthi; Kedar Bellare; Olivier Chapelle; Sundararajan Sellamanickam (AISTATS, 2012)

Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference. - Tanuja Ganu; Sundararajan Sellamanickam; Shirish K. Shevade (SDM, 2013)

A Structured Prediction Approach for Missing Value Imputation. - Rahul Kidambi; Vinod Nair; Sundararajan Sellamanickam; S. Sathiya Keerthi (CoRR, 2013)

A Quantitative Evaluation Framework for Missing Value Imputation Algorithms. - Vinod Nair; Rahul Kidambi; Sundararajan Sellamanickam; S. Sathiya Keerthi; Johannes Gehrke; Vijay Narayanan (CoRR, 2013)

Large Margin Semi-supervised Structured Output Learning. - P. Balamurugan 001; Shirish K. Shevade; Sundararajan Sellamanickam (CoRR, 2013)

Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues. - Vinod Nair; Ameya Raul; Shwetabh Khanduja; Vikas Bahirwani; Sundararajan Sellamanickam; S. Sathiya Keerthi; Steve Herbert; Sudheer Dhulipalla (KDD, 2015)

Hashtag Recommendation for Enterprise Applications. - Dhruv Mahajan 001; Vishwajit Kolathur; Chetan Bansal; Suresh Parthasarathy; Sundararajan Sellamanickam; S. Sathiya Keerthi; Johannes Gehrke (CIKM, 2016)

Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification. - Madhusudan Lakshmana; Sundararajan Sellamanickam; Shirish K. Shevade; Sathiya Keerthi Selvaraj (CoRR, 2016)

Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles. - Dhruv Mahajan 001; Vivek Gupta 001; S. Sathiya Keerthi; Sundararajan Sellamanickam; Shravan Narayanamurthy; Rahul Kidambi (CoRR, 2017)

An efficient distributed learning algorithm based on effective local functional approximations. - Dhruv Mahajan 001; Nikunj Agrawal; S. Sathiya Keerthi; Sundararajan Sellamanickam; Léon Bottou (J. Mach. Learn. Res., 2018)

iBox: Internet in a Box. - Sachin Ashok; Sai Surya Duvvuri; Nagarajan Natarajan; Venkata N. Padmanabhan; Sundararajan Sellamanickam; Johannes Gehrke (HotNets, 2020)

A Graph Convolutional Network Composition Framework for Semi-supervised Classification. - Rahul Ragesh; Sundararajan Sellamanickam; Vijay Lingam; Arun Iyer (CoRR, 2020)

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. - Rahul Ragesh; Sundararajan Sellamanickam; Arun Iyer; Ramakrishna Bairi; Vijay Lingam (WSDM, 2021)

User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. - Rahul Ragesh; Sundararajan Sellamanickam; Vijay Lingam; Arun Iyer; Ramakrishna Bairi (CoRR, 2021)

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs. - Vijay Lingam; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (CoRR, 2021)

Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks. - Vijay Lingam; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (CoRR, 2021)

IGLU: Efficient GCN Training via Lazy Updates. - S. Deepak Narayanan; Aditya Sinha; Prateek Jain 002; Purushottam Kar; Sundararajan Sellamanickam (ICLR, 2022)

A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks. - Vijay Lingam; Manan Sharma; Chanakya Ekbote; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (ECML/PKDD (2), 2022)

Data-Driven Network Path Simulation with iBox. - Sachin Ashok; Shubham Tiwari; Nagarajan Natarajan; Venkata N. Padmanabhan; Sundararajan Sellamanickam (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Simulating Network Paths with Recurrent Buffering Units. - Divyam Anshumaan; Sriram Balasubramanian; Shubham Tiwari; Nagarajan Natarajan; Sundararajan Sellamanickam; Venkat N. Padmanabhan (AAAI, 2023)

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. - Chanakya Ekbote; Ajinkya Pankaj Deshpande; Arun Iyer; Sundararajan Sellamanickam; Ramakrishna Bairi (NeurIPS, 2023)