Sauptik Dhar

26 papers A* 1B 2C 1Misc 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Breakdance Video classification in the age of Generative AI.
CoRR
Sauptik Dhar, Naveen Ramakrishnan, Michelle Munson
2025 J jnl
Large VLM-based Stylized Sports Captioning.
CoRR
Sauptik Dhar, Nicholas Buoncristiani, Joe Anakata, Haoyu Zhang, Michelle Munson
2024 J jnl
DOC
Mach. Learn.
Sauptik Dhar, Bernardo Gonzalez Torres
2021 J jnl
A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective.
ACM Trans. Internet Things
Sauptik Dhar, Junyao Guo, Jiayi (Jason) Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2021 J jnl
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it.
CoRR
Viswanath Ganapathy, Sauptik Dhar, Olimpiya Saha, Pelin Kurt Garberson, Javad Heydari, Mohak Shah
2021 J jnl
DOC3-Deep One Class Classification using Contradictions.
CoRR
Sauptik Dhar, Bernardo Gonzalez Torres
2021 J jnl
Evolving GANs: When Contradictions Turn into Compliance.
CoRR
Sauptik Dhar, Javad Heydari, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2020 — conf
Improving Model Training by Periodic Sampling over Weight Distributions.
IEEE BigData
Samarth Tripathi, Jiayi Liu, Sauptik Dhar, Unmesh Kurup, Mohak Shah
2020 J jnl
Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization.
CoRR
Sauptik Dhar, Unmesh Kurup, Mohak Shah
2020 Misc conf
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize.
ICASSP
Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah
2019 A* conf
Multiclass Learning from Contradictions.
NeurIPS
Sauptik Dhar, Vladimir Cherkassky, Mohak Shah
2019 J jnl
On-Device Machine Learning: An Algorithms and Learning Theory Perspective.
CoRR
Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2019 J jnl
Single Class Universum-SVM.
CoRR
Sauptik Dhar, Vladimir Cherkassky
2019 J jnl
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize.
CoRR
Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah
2018 J jnl
Multiclass Universum SVM.
CoRR
Sauptik Dhar, Vladimir Cherkassky, Mohak Shah
2017 B conf
Universum learning for SVM regression.
IJCNN
Sauptik Dhar, Vladimir Cherkassky
2016 J jnl
Universum Learning for Multiclass SVM.
CoRR
Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky, Mohak Shah
2016 J jnl
Universum Learning for SVM Regression.
CoRR
Sauptik Dhar, Vladimir Cherkassky
2015 — conf
A data-driven approach towards patient identification for telehealth programs.
IEEE BigData
Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic
2015 — conf
ADMM based scalable machine learning on Spark.
IEEE BigData
Sauptik Dhar, Congrui Yi, Naveen Ramakrishnan, Mohak Shah
2015 J jnl
Development and Evaluation of Cost-Sensitive Universum-SVM.
IEEE Trans. Cybern.
Sauptik Dhar, Vladimir Cherkassky
2015 C conf
Patient Identification for Telehealth Programs.
ICMLA
Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic
2012 — conf
Cost-Sensitive Universum-SVM.
ICMLA (1)
Sauptik Dhar, Vladimir Cherkassky
2011 B conf
Application of SOM to analysis of Minnesota soil survey data.
IJCNN
Sauptik Dhar, Vladimir Cherkassky
2011 J jnl
Practical Conditions for Effectiveness of the Universum Learning.
IEEE Trans. Neural Networks
Vladimir Cherkassky, Sauptik Dhar, Wuyang Dai
2010 — conf
Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models.
DMIN
Vladimir Cherkassky, Sauptik Dhar