P. Balamurugan

According to our database, P. Balamurugan authored at least 20 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed accelerated gradient methods with restart under quadratic growth condition.

Chhavi Sharma, Vishnu Narayanan, P. Balamurugan

J. Glob. Optim., September, 2024

Learning Sparse Graphs for Functional Regression using Graph-induced Operator-valued Kernels.

Akash Saha, P. Balamurugan

Trans. Mach. Learn. Res., 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

Proceedings of the IEEE International Smart Cities Conference, 2024

MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI.

Vivek Kumar Trivedi, Bheeshm Sharma, P. Balamurugan

Proceedings of the 17th International Congress on Image and Signal Processing, 2024

2023

PB-FELTuCS: Patch-Based Filtering for Enhanced Liver Tumor Classification and Segmentation.

Bheeshm Sharma, P. Balamurugan

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2023

Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems.

Chhavi Sharma, Vishnu Narayanan, P. Balamurugan

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2020

Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces.

Akash Saha, P. Balamurugan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Classifying Diabetic Retinopathy Images Using Induced Deep Region of Interest Extraction.

Ashutosh Kushwaha, P. Balamurugan

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective.

Anusha Kasinikota, P. Balamurugan, Shirish K. Shevade

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Robust Discriminative Clustering with Sparse Regularizers.

Nicolas Flammarion, Balamurugan Palaniappan, Francis R. Bach

J. Mach. Learn. Res., 2017

2016

ADMM for Training Sparse Structural SVMs with Augmented <i>ℓ</i>₁ Regularizers.

P. Balamurugan, Anusha Posinasetty, Shirish K. Shevade

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling.

P. K. Srijith, P. Balamurugan, Shirish K. Shevade

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Stochastic Variance Reduction Methods for Saddle-Point Problems.

P. Balamurugan, Francis R. Bach

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

A Simple Label Switching Algorithm for Semisupervised Structural SVMs.

P. Balamurugan, Shirish K. Shevade, S. Sundararajan

Neural Comput., 2015

2014

Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs.

P. Balamurugan, Shirish K. Shevade, T. Ravindra Babu

Knowl. Inf. Syst., 2014

2013

An Empirical Evaluation of Sequence-Tagging Trainers.

P. Balamurugan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi

CoRR, 2013

Large Margin Semi-supervised Structured Output Learning.

P. Balamurugan, Shirish K. Shevade, Sundararajan Sellamanickam

CoRR, 2013

Large-Scale Elastic Net Regularized Linear Classification SVMs and Logistic Regression.

P. Balamurugan

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Efficient algorithms for linear summed error structural SVMs.

P. Balamurugan, Shirish K. Shevade, T. Ravindra Babu

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

A Sequential Dual Method for Structural SVMs.

Shirish K. Shevade, P. Balamurugan, S. Sundararajan, S. Sathiya Keerthi

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011