Siyuan Ma
Cited by
Cited by
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
To understand deep learning we need to understand kernel learning
M Belkin, S Ma, S Mandal
arXiv preprint arXiv:1802.01396, 2018
The power of interpolation: Understanding the effectiveness of SGD in modern over-parametrized learning
S Ma, R Bassily, M Belkin
arXiv preprint arXiv:1712.06559, 2017
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
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
On exponential convergence of SGD in non-convex over-parametrized learning
R Bassily, M Belkin, S Ma
arXiv preprint arXiv:1811.02564, 2018
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
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
Kernel machines that adapt to GPUs for effective large batch training
S Ma, M Belkin
Conference on Machine Learning and Systems, 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
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
Kernel Machines Beat Deep Neural Networks on Mask-based Single-channel Speech Enhancement
L Hui, S Ma, M Belkin
Interspeech, 2019, 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
Easy and Efficient Optimization for Modern Supervised Learning
S Ma
The Ohio State University, 2019
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