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