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e7d019329e662fe4685be505befca3bb-Paper-Conference.pdf
Inductive biases encoding known data symmetries are key to make deep learning models generalize in high-dimensional settings such as computer vision, speech processing and computational neuroscience, just to name a few.
Kernel quadrature with DPPs
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais
Thislinkbetween the two kernels, along with DPP machinery, leads to relatively tight bounds on the quadrature error,that depends onthespectrum oftheRKHS kernel.
online_pmc-2
However, the completion accuracy can be drastically different over different entries.
Learning from brains how to regularize machines
Zhe Li, Wieland Brendel, Edgar Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian Sinz, Zachary Pitkow, Andreas Tolias
Neural Information Processing Systems http://nips.cc/
Private Learning Implies Online Learning: An Efficient Reduction
Alon Gonen, Elad Hazan, Shay Moran
Neural Information Processing Systems http://nips.cc/
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
The deviated model can be motivated by many applications in science.
Diverse Ensemble Evolution: Curriculum Data-Model Marriage
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
TheinterplayIv: k models Iu: p samples model) is ensemble.