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math.OC2016★ 226 cited
Stochastic Variance Reduction for Nonconvex Optimization
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra +2
We study nonconvex finite-sum problems and analyze stochastic variance reduced gradient (SVRG) methods for them. SVRG and related methods have recently surged into prominence for c…
math.OC2014★ 10 cited
Large-scale randomized-coordinate descent methods with non-separable linear constraints
Sashank Reddi, Ahmed Hefny, Carlton Downey +2
We develop randomized (block) coordinate descent (CD) methods for linearly constrained convex optimization. Unlike most CD methods, we do not assume the constraints to be separable…