A Sequential Dual Method for Structural SVMs. - Shirish K. Shevade; P. Balamurugan 001; S. Sundararajan; S. Sathiya Keerthi (SDM, 2011)

Efficient algorithms for linear summed error structural SVMs. - P. Balamurugan 001; Shirish K. Shevade; T. Ravindra Babu (IJCNN, 2012)

Large-Scale Elastic Net Regularized Linear Classification SVMs and Logistic Regression. - P. Balamurugan 001 (ICDM, 2013)

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

An Empirical Evaluation of Sequence-Tagging Trainers. - P. Balamurugan 001; Shirish K. Shevade; S. Sundararajan; S. Sathiya Keerthi (CoRR, 2013)

Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs. - P. Balamurugan 001; Shirish K. Shevade; T. Ravindra Babu (Knowl. Inf. Syst., 2014)

A Simple Label Switching Algorithm for Semisupervised Structural SVMs. - P. Balamurugan 001; Shirish K. Shevade; S. Sundararajan (Neural Comput., 2015)

Stochastic Variance Reduction Methods for Saddle-Point Problems. - P. Balamurugan 001; Francis R. Bach (NIPS, 2016)

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. - P. K. Srijith; P. Balamurugan 001; Shirish K. Shevade (ECML/PKDD (1), 2016)

ADMM for Training Sparse Structural SVMs with Augmented ℓ1 Regularizers. - P. Balamurugan 001; Anusha Posinasetty; Shirish K. Shevade (SDM, 2016)

Robust Discriminative Clustering with Sparse Regularizers. - Nicolas Flammarion; Balamurugan Palaniappan; Francis R. Bach (J. Mach. Learn. Res., 2017)

Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective. - Anusha Kasinikota; P. Balamurugan 001; Shirish K. Shevade (PAKDD (1), 2018)

Classifying Diabetic Retinopathy Images Using Induced Deep Region of Interest Extraction. - Ashutosh Kushwaha; P. Balamurugan 001 (CISP-BMEI, 2019)

Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces. - Akash Saha; P. Balamurugan 001 (NeurIPS, 2020)

Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems. - Chhavi Sharma; Vishnu Narayanan; P. Balamurugan 001 (CDC, 2023)

PB-FELTuCS: Patch-Based Filtering for Enhanced Liver Tumor Classification and Segmentation. - Bheeshm Sharma; P. Balamurugan 001 (MICAD, 2023)

MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI. - Vivek Kumar Trivedi; Bheeshm Sharma; P. Balamurugan 001 (CISP-BMEI, 2024)

Automatic Tweet Mention Recommendation in X for Reporting Civic Issues - Case Study Based on Mumbai City, India. - Aayush Patel; Chaitya Dobariya; Dayanand Ambawade; Dhawal Thakkar; P. Balamurugan 001 (ISC2, 2024)

Learning Sparse Graphs for Functional Regression using Graph-induced Operator-valued Kernels. - Akash Saha; P. Balamurugan 001 (Trans. Mach. Learn. Res., 2024)

Distributed accelerated gradient methods with restart under quadratic growth condition. - Chhavi Sharma; Vishnu Narayanan; P. Balamurugan 001 (J. Glob. Optim., 2024)