297 citations · 1k across the 17 of their papers we have counts for
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Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions
Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun +2
Adaptive regularization methods that exploit more than the diagonal entries exhibit state of the art performance for many tasks, but can be prohibitive in terms of memory and runni…
Chromatic Learning for Sparse Datasets
Vladimir Feinberg, Peter Bailis
Learning over sparse, high-dimensional data frequently necessitates the use of specialized methods such as the hashing trick. In this work, we design a highly scalable alternative…
Large Linear Multi-output Gaussian Process Learning
Vladimir Feinberg, Li-Fang Cheng, Kai Li +1
Gaussian processes (GPs), or distributions over arbitrary functions in a continuous domain, can be generalized to the multi-output case: a linear model of coregionalization (LMC) i…