STATISTICAL LEARNING THEORY
Experts
- Peter L. Bartlett
- John Shawe-Taylor
- Stéphan Clémençon
- Johan A. K. Suykens
- Robert C. Williamson
- Shai Ben-David
- Dacheng Tao
- Pascal Germain
- Mario Marchand
- François Laviolette
- Amir Yehudayoff
- Michael Schmitt
- Luca Oneto
- Shay Moran
- Massimiliano Pontil
- Masashi Sugiyama
- Amit Daniely
- Chao Zhang
- Aurélien Bellet
- Daniel M. Roy
- Shai Shalev-Shwartz
- Vladimir Koltchinskii
- Quanquan Gu
- Nikita Zhivotovskiy
- Vladimir Cherkassky
- Noga Alon
- Gintare Karolina Dziugaite
- Davide Anguita
- Marek Karpinski
- Yunlong Feng
- Yishay Mansour
- Jun Sakuma
- Zaiwei Chen
- Maxim Raginsky
- Sariel Har-Peled
- Sham M. Kakade
- Joanne Arciuli
- Tomer Galanti
- Arash Behboodi
Venues
- CoRR
- NeurIPS
- COLT
- NIPS
- CogSci
- ICML
- J. Mach. Learn. Res.
- Neural Comput.
- IEEE Trans. Inf. Theory
- Neurocomputing
- IJCNN
- Comput. Stat. Data Anal.
- IEEE Access
- AISTATS
- ICASSP
- Cogn. Sci.
- Neural Networks
- CDC
- ICLR
- J. Cogn. Neurosci.
- HICSS
- ALT
- ISIT
- AAAI
- Expert Syst. Appl.
- UAI
- Eur. J. Oper. Res.
- Commun. Stat. Simul. Comput.
- IEEE Trans. Pattern Anal. Mach. Intell.
- ESANN
- Electron. Colloquium Comput. Complex.
- Autom.
- Theor. Comput. Sci.
- Discret. Appl. Math.
- IEEE Trans. Neural Networks
- IACR Cryptol. ePrint Arch.
- FOCS
- IEEE Trans. Neural Networks Learn. Syst.
- Discret. Math.
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