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