Reconciling modern machine-learning practice and the classical bias–variance trade-off M Belkin, D Hsu, S Ma, S Mandal Proceedings of the National Academy of Sciences 116 (32), 15849-15854, 2019 | 2184 | 2019 |
To understand deep learning we need to understand kernel learning M Belkin, S Ma, S Mandal International Conference on Machine Learning, 541-549, 2018 | 503 | 2018 |
Reply to loog et al.: Looking beyond the peaking phenomenon M Belkin, D Hsu, S Ma, S Mandal Proceedings of the National Academy of Sciences 117 (20), 10627-10627, 2020 | 6 | 2020 |
Shaft input adaptive source current compensation based novel voltage and frequency control of autonomous induction generator PJC J. K. Chatterjee, PEB Murty, S Mandal 2011 International Conference on Power and Energy Systems, 2012 | 5 | 2012 |
Generalization of Machine Learning Model and Various Applications in NLP and Vision SK Mandal The Ohio State University, 2022 | | 2022 |