EMPIRICAL RISK MINIMIZATION
Experts
- John Shawe-Taylor
- François Laviolette
- Luca Oneto
- Aryan Mokhtari
- Peter L. Bartlett
- Sham M. Kakade
- Shai Ben-David
- Shai Shalev-Shwartz
- Dacheng Tao
- Daniel M. Roy
- Alejandro Ribeiro
- Massimiliano Pontil
- Di Wang
- Mario Marchand
- Jinhui Xu
- Yin Tat Lee
- Aurélien Bellet
- Marek Karpinski
- Sandro Ridella
- Quanquan Gu
- Benjamin Guedj
- Stéphan Clémençon
- Gábor Lugosi
- Davide Anguita
- Shay Moran
- Sivan Sabato
- Nicolò Cesa-Bianchi
- Alessandro Ghio
- Martin Takác
- Angus Macintyre
- Chao Zhang
- Jun Sakuma
- Adam D. Smith
- Gintare Karolina Dziugaite
- Amit Daniely
- Amir Yehudayoff
- Michele Donini
- Tomer Koren
- Ron Meir
Venues
- CoRR
- NIPS
- COLT
- NeurIPS
- ICML
- J. Mach. Learn. Res.
- AISTATS
- IEEE Trans. Inf. Theory
- ALT
- ICLR
- Neural Comput.
- Neurocomputing
- AAAI
- ICLR (Poster)
- Comb.
- Neural Networks
- Theor. Comput. Sci.
- FOCS
- Electron. Colloquium Comput. Complex.
- IJCNN
- ESANN
- Inf. Process. Lett.
- ISIT
- IEEE Trans. Neural Networks Learn. Syst.
- SoCG
- ICASSP
- J. Comput. Phys.
- Appl. Math. Comput.
- Entropy
- Discret. Math.
- HMD Prax. Wirtsch.
- ISNN (1)
- CDC
- KDD
- IEEE Trans. Neural Networks
- ICMLC
- J. Comput. Syst. Sci.
- IEEE Trans. Pattern Anal. Mach. Intell.
- Trans. Mach. Learn. Res.
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