| 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 | 2348 | 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 | 527 | 2018 |
| The power of interpolation: Understanding the effectiveness of SGD in modern over-parametrized learning S Ma, R Bassily, M Belkin International Conference on Machine Learning, 3325-3334, 2018 | 354 | 2018 |
| On exponential convergence of SGD in non-convex over-parametrized learning R Bassily, M Belkin, S Ma arXiv preprint arXiv:1811.02564, 2018 | 121 | 2018 |
| S-cave: Effective ssd caching to improve virtual machine storage performance T Luo, S Ma, R Lee, X Zhang, D Liu, L Zhou Proceedings of the 22nd international conference on Parallel architectures …, 2013 | 109 | 2013 |
| Concurrent analytical query processing with GPUs K Wang, K Zhang, Y Yuan, S Ma, R Lee, X Ding, X Zhang Proceedings of the VLDB Endowment 7 (11), 1011-1022, 2014 | 102 | 2014 |
| Diving into the shallows: a computational perspective on large-scale shallow learning S Ma, M Belkin Advances in Neural Information Processing Systems, 3778-3787, 2017 | 97 | 2017 |
| LSbM-tree: Re-enabling buffer caching in data management for mixed reads and writes D Teng, L Guo, R Lee, F Chen, S Ma, Y Zhang, X Zhang 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 62* | 2017 |
| Kernel machines that adapt to GPUs for effective large batch training S Ma, M Belkin Conference on Machine Learning and Systems, 2019 | 42 | 2019 |
| Understanding insights into the basic structure and essential issues of table placement methods in clusters Y Huai, S Ma, R Lee, O O'Malley, X Zhang Proceedings of the VLDB Endowment 6 (14), 1750-1761, 2013 | 28 | 2013 |
| A Low-cost Disk Solution Enabling LSM-tree to Achieve High Performance for Mixed Read/Write Workloads D Teng, L Guo, R Lee, F Chen, Y Zhang, S Ma, X Zhang ACM Transactions on Storage (TOS) 14 (2), 15, 2018 | 21 | 2018 |
| Kernel Machines Beat Deep Neural Networks on Mask-based Single-channel Speech Enhancement L Hui, S Ma, M Belkin Interspeech, 2019, 2019 | 13 | 2019 |
| 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 |
| Easy and Efficient Optimization for Modern Supervised Learning S Ma The Ohio State University, 2019 | | 2019 |
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon ScholarVerified email at ucsd.edu
