Annual Conference Computational Learning Theory - 期刊 | AMiner

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论文（2778）

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1Avoiding Exp(k * ) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: from Multiple Seeds to a Single Seed.

Tianyuan Jin,Heyang Zhao,Vincent Y. F. Tan,Quanquan Gu

2026

引用

2Differentially Private Language Generation and Identification in the Limit (extended Abstract).

Anay Mehrotra,Grigoris Velegkas, Xifan Yu, Felix Zhou

2026引用：1

引用

3Universality of High-Dimensional Scaling Limits of Stochastic Gradient Descent (extended Abstract).

Reza Gheissari,Aukosh Jagannath

2026

引用

4Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs (extended Abstract).

Tianhao Wu,Matthew Zurek,Weina Wang,Qiaomin Xie

2026

引用

5Private Linear Regression Via a Down-Sensitivity to Privacy Reduction.

Ittai Rubinstein, Chris Ge, Samuel B. Hopkins

2026引用：1

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高被引作者

作者	引用	发文
David E. (Dave) Goldberg	51373	1
John Henry Holland	51373	1
Yoram Singer	27415	18
Elad Hazan	20384	26
Bernhard E. Boser	19106	1
Isabelle Guyon	19106	1
John Duchi	18222	14
Avrim Blum	12031	31
Robert Schapire	11046	33
Tom Mitchell	8010	1

高产作者

作者	引用	发文
Yishay Mansour	4015	49
Peter L. Bartlett	6150	45
Sasha Rakhlin	2609	41
Nicolò Cesa-Bianchi	3091	40
Daniel M. Kane	740	38
Ohad Shamir	3104	38
Manfred K. Warmuth	1835	38
Ilias Diakonikolas	743	37
Shay Moran	421	33
Robert Schapire	11046	33

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