Standout Papers

Reconciling modern machine-learning practice and the classical bias–variance trade-off 2019 2026 2021 2023 593
  1. Reconciling modern machine-learning practice and the classical bias–variance trade-off (2019)
    Mikhail Belkin, Daniel Hsu et al. Proceedings of the National Academy of Sciences

Immediate Impact

7 from Science/Nature 67 standout
Sub-graph 1 of 22

Citing Papers

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2 intermediate papers

Works of Siyuan Ma being referenced

Reconciling modern machine-learning practice and the classical bias–variance trade-off
2019 Standout

Author Peers

Author Last Decade Papers Cites
Siyuan Ma 1165 509 433 71 2.0k
Chao Zhou 1506 537 553 54 2.2k
Hugh G. Lewis 314 457 526 130 2.5k
Abani Patra 704 256 463 101 2.0k
Markus Zimmermann 674 428 498 147 2.6k
Naonori Ueda 186 439 127 113 2.4k
Rui Yong 745 62 76 118 2.2k
В. Ф. Писаренко 184 126 81 67 2.0k
Zelang Miao 235 234 377 62 1.6k
Diane L. Evans 152 172 304 46 1.4k
Xiaoming Wang 105 267 264 133 2.2k

All Works

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2026