185 citations · 945 across the 83 of their papers we have counts for
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Accelerated Sparsified SGD with Error Feedback
Tomoya Murata, Taiji Suzuki
A stochastic gradient method for synchronous distributed optimization is studied. For reducing communication cost, we particularly focus on utilization of compression of communicat…
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
Tomoya Murata, Taiji Suzuki
We develop new stochastic gradient methods for efficiently solving sparse linear regression in a partial attribute observation setting, where learners are only allowed to observe a…
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
Tomoya Murata, Taiji Suzuki
In this paper, we develop a new accelerated stochastic gradient method for efficiently solving the convex regularized empirical risk minimization problem in mini-batch settings. Th…
Stochastic dual averaging methods using variance reduction techniques for regularized empirical risk minimization problems
Tomoya Murata, Taiji Suzuki
We consider a composite convex minimization problem associated with regularized empirical risk minimization, which often arises in machine learning. We propose two new stochastic g…