These limitations, both theoretical and practical, underscore the need for novel sketching algorithms.

Inference in the introduced linear Gaussian SSM is straightforward and can be performed using Kalman prediction and observation updates.

Neural Information Processing Systems http://nips.cc/

This work was accomplished when Liyi Chen was an intern at Alibaba Cloud Computing.

Consider the problem of training deep neural networks on large annotated datasets, such as ImageNet [1]. This problem can be formalized as finding optimal parameters for a given neural networka,parameterized byw,w.r.t.

Continual lifelong learning is essential to many applications.