Sauptik Dhar

According to our database, Sauptik Dhar authored at least 21 papers between 2010 and 2021.

Collaborative distances:

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

2021

A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective.

Sauptik Dhar, Junyao Guo, Jiayi (Jason) Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

ACM Trans. Internet Things, 2021

A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it.

Viswanath Ganapathy, Sauptik Dhar, Olimpiya Saha, Pelin Kurt Garberson, Javad Heydari, Mohak Shah

CoRR, 2021

Evolving GANs: When Contradictions Turn into Compliance.

Sauptik Dhar, Javad Heydari, Samarth Tripathi, Unmesh Kurup, Mohak Shah

CoRR, 2021

DOC3-Deep One Class Classification using Contradictions.

Sauptik Dhar, Bernardo Gonzalez Torres

CoRR, 2021

2020

Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization.

Sauptik Dhar, Unmesh Kurup, Mohak Shah

CoRR, 2020

Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize.

Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Improving Model Training by Periodic Sampling over Weight Distributions.

Samarth Tripathi, Jiayi Liu, Sauptik Dhar, Unmesh Kurup, Mohak Shah

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

On-Device Machine Learning: An Algorithms and Learning Theory Perspective.

Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

CoRR, 2019

Single Class Universum-SVM.

Sauptik Dhar, Vladimir Cherkassky

CoRR, 2019

Multiclass Learning from Contradictions.

Sauptik Dhar, Vladimir Cherkassky, Mohak Shah

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Multiclass Universum SVM.

Sauptik Dhar, Vladimir Cherkassky, Mohak Shah

CoRR, 2018

2017

Universum learning for SVM regression.

Sauptik Dhar, Vladimir Cherkassky

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Universum Learning for Multiclass SVM.

Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky, Mohak Shah

CoRR, 2016

2015

Development and Evaluation of Cost-Sensitive Universum-SVM.

Sauptik Dhar, Vladimir Cherkassky

IEEE Trans. Cybern., 2015

Patient Identification for Telehealth Programs.

Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A data-driven approach towards patient identification for telehealth programs.

Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

ADMM based scalable machine learning on Spark.

Sauptik Dhar, Congrui Yi, Naveen Ramakrishnan, Mohak Shah

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2012

Cost-Sensitive Universum-SVM.

Sauptik Dhar, Vladimir Cherkassky

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011

Practical Conditions for Effectiveness of the Universum Learning.

Vladimir Cherkassky, Sauptik Dhar, Wuyang Dai

IEEE Trans. Neural Networks, 2011

Application of SOM to analysis of Minnesota soil survey data.

Sauptik Dhar, Vladimir Cherkassky

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models.

Vladimir Cherkassky, Sauptik Dhar

Proceedings of The 2010 International Conference on Data Mining, 2010