8 citations · 28 across the 11 of their papers we have counts for
Showing 2017 · stat.MLShow all
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stat.ML2017
Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation
Jineng Ren, Jarvis Haupt
We propose a communicationally and computationally efficient algorithm for high-dimensional distributed sparse learning. At each iteration, local machines compute the gradient on l…
stat.ML2017
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions
Xingguo Li, Lin F. Yang, Jason Ge +3
We propose a DC proximal Newton algorithm for solving nonconvex regularized sparse learning problems in high dimensions. Our proposed algorithm integrates the proximal Newton algor…
stat.ML2017
Noisy Tensor Completion for Tensors with a Sparse Canonical Polyadic Factor
Swayambhoo Jain, Alexander Gutierrez, Jarvis Haupt
In this paper we study the problem of noisy tensor completion for tensors that admit a canonical polyadic or CANDECOMP/PARAFAC (CP) decomposition with one of the factors being spar…