Sauptik Dhar

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 16

Top Topics

Gradient Method

Unbalanced Data

Machine Learning

Top Venues

IEEE Trans. Cybern.

Publications

Sauptik Dhar, Bernardo Gonzalez Torres
: deep one class classification using contradictions. Mach. Learn. 113 (8) (2024)
Sauptik Dhar, Javad Heydari, Samarth Tripathi, Unmesh Kurup, Mohak Shah
Evolving GANs: When Contradictions Turn into Compliance. CoRR (2021)
Viswanath Ganapathy, Sauptik Dhar, Olimpiya Saha, Pelin Kurt Garberson, Javad Heydari, Mohak Shah
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it. CoRR (2021)
Sauptik Dhar, Junyao Guo, Jiayi (Jason) Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective. ACM Trans. Internet Things 2 (3) (2021)
Sauptik Dhar, Bernardo Gonzalez Torres
DOC3-Deep One Class Classification using Contradictions. CoRR (2021)
Samarth Tripathi, Jiayi Liu, Sauptik Dhar, Unmesh Kurup, Mohak Shah
Improving Model Training by Periodic Sampling over Weight Distributions. IEEE BigData (2020)
Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize. ICASSP (2020)
Sauptik Dhar, Unmesh Kurup, Mohak Shah
Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization. CoRR (2020)
Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
On-Device Machine Learning: An Algorithms and Learning Theory Perspective. CoRR (2019)
Sauptik Dhar, Vladimir Cherkassky, Mohak Shah
Multiclass Learning from Contradictions. NeurIPS (2019)
Sauptik Dhar, Vladimir Cherkassky
Single Class Universum-SVM. CoRR (2019)
Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize. CoRR (2019)
Sauptik Dhar, Vladimir Cherkassky, Mohak Shah
Multiclass Universum SVM. CoRR (2018)
Sauptik Dhar, Vladimir Cherkassky
Universum learning for SVM regression. IJCNN (2017)
Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky, Mohak Shah
Universum Learning for Multiclass SVM. CoRR (2016)
Sauptik Dhar, Vladimir Cherkassky
Universum Learning for SVM Regression. CoRR (2016)
Sauptik Dhar, Congrui Yi, Naveen Ramakrishnan, Mohak Shah
ADMM based scalable machine learning on Spark. IEEE BigData (2015)
Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic
Patient Identification for Telehealth Programs. ICMLA (2015)
Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic
A data-driven approach towards patient identification for telehealth programs. IEEE BigData (2015)
Sauptik Dhar, Vladimir Cherkassky
Development and Evaluation of Cost-Sensitive Universum-SVM. IEEE Trans. Cybern. 45 (4) (2015)
Sauptik Dhar, Vladimir Cherkassky
Cost-Sensitive Universum-SVM. ICMLA (1) (2012)
Vladimir Cherkassky, Sauptik Dhar, Wuyang Dai
Practical Conditions for Effectiveness of the Universum Learning. IEEE Trans. Neural Networks 22 (8) (2011)
Sauptik Dhar, Vladimir Cherkassky
Application of SOM to analysis of Minnesota soil survey data. IJCNN (2011)
Vladimir Cherkassky, Sauptik Dhar
Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models. DMIN (2010)