International Conference on Artificial Intelligence and Statistics - 期刊 | AMiner

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论文（5149）

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时间引用

1Exploring Novel Uncertainty Quantification Through Forward Intensity Function Modeling.

Yudong Wang,Zhi-Sheng Ye,Cheng Yong Tang

2026

引用

2Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models.

Nicola Gnecco,Jonas Peters,Sebastian Engelke,Niklas Pfister

2026引用：1

引用

3Reparameterized Complex-valued Neurons Can Efficiently Learn More Than Real-valued Neurons Via Gradient Descent.

Jin-Hui Wu,Shao-Qun Zhang,Yuan Jiang,Zhi-Hua Zhou

2026

引用

4Skwdro: a Library for Wasserstein Distributionally Robust Machine Learning.

Florian Vincent,Waïss Azizian,Franck Iutzeler,Jérôme Malick

2026引用：1

引用

5Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence.

Siming Zheng,Guohao Shen,Yuanyuan Lin,Jian Huang

2026

引用

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高被引作者

作者	引用	发文
H. Brendan McMahan	41268	6
Daniel Ramage	40799	1
Blaise Aguera Y Arcas	40799	1
Eider Moore	40799	1
Yoshua Bengio	39581	22
Xavier Glorot	32232	4
Ruslan Salakhutdinov	6895	8
Honglak Lee	6406	4
Andrew Ng	6032	1
Adam Coates	6032	1

高产作者

作者	引用	发文
Michael I. Jordan	2389	39
Andreas Krause	1284	37
Mihaela van der Schaar	654	30
Masashi Sugiyama	809	29
Csaba Szepesvári	1514	28
Francis Bach	1796	28
Zoubin Ghahramani	3165	26
Lawrence Carin	1534	26
Eric P. Xing	3193	24
Bernhard Schölkopf	1562	23

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