Standout Papers

Reconciling modern machine-learning practice and the clas... 2014 2026 2018 2022 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
  2. Tensor decompositions for learning latent variable models (2014)
    Animashree Anandkumar, Rong Ge et al. Journal of Machine Learning Research

Immediate Impact

9 from Science/Nature 60 standout
Sub-graph 1 of 23

Citing Papers

Selectivity in Chemiresistive Gas Sensors: Strategies and Challenges
2025 Standout
Machine Learning in Polymer Research
2025 Standout
4 intermediate papers

Works of Daniel Hsu being referenced

Reconciling modern machine-learning practice and the classical bias–variance trade-off
2019 Standout
Tensor decompositions for learning latent variable models
2014 Standout
and 2 more

Author Peers

Author Last Decade Papers Cites
Daniel Hsu 1355 288 373 399 69 2.7k
Jeff Schneider 1096 129 96 350 111 2.1k
Lenka Zdeborová 1453 471 251 262 98 4.5k
Suvrit Sra 878 194 495 645 90 2.2k
Bin Yu 1776 898 292 440 70 4.9k
Charles Van Loan 492 153 708 257 38 5.2k
Matthias Seeger 2253 210 451 738 50 4.3k
Per‐Gunnar Martinsson 851 152 1305 483 51 4.1k
Homer F. Walker 935 460 1128 341 52 4.2k
Felipe Cucker 834 358 710 495 101 4.4k
Ravi Kannan 1310 505 627 492 78 3.4k

All Works

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2026