Standout Papers

Accelerating Stochastic Gradient Descent using Predictive Variance Reduction 2013 2026 2017 2021 646
  1. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction (2013)
    Rie Johnson, Tong Zhang Rare & Special e-Zone (The Hong Kong University of Science and Technology)
  2. Efficient mini-batch training for stochastic optimization (2014)
    Mu Li, Tong Zhang et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology)
  3. Deep Pyramid Convolutional Neural Networks for Text Categorization (2017)
    Rie Johnson, Tong Zhang Rare & Special e-Zone (The Hong Kong University of Science and Technology)

Immediate Impact

6 by Nobel laureates 36 from Science/Nature 70 standout
Sub-graph 1 of 23

Citing Papers

Illusory generalizability of clinical prediction models
2024 StandoutScience
Dense reinforcement learning for safety validation of autonomous vehicles
2023 StandoutNature
2 intermediate papers

Works of Tong Zhang being referenced

The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
2007
Statistical behavior and consistency of classification methods based on convex risk minimization
2004

Author Peers

Author Last Decade Papers Cites
Tong Zhang 2781 878 889 114 4.3k
John C. Duchi 2946 1130 435 59 5.1k
Shai Shalev‐Shwartz 2657 902 424 67 4.2k
Elad Hazan 3031 1052 788 75 5.4k
Shie Mannor 2451 907 888 184 5.7k
Inderjit S. Dhillon 2802 1769 510 134 6.5k
Albert Benveniste 2207 876 742 149 8.0k
Adam Krzyżak 2506 1734 327 153 5.4k
Cho‐Jui Hsieh 3349 1858 337 119 6.0k
Manfred K. Warmuth 4114 764 1029 118 5.9k
Jacek M. Żurada 2749 1280 576 133 5.6k

All Works

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Rankless by CCL
2026