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An Exact Convex Formulation of the Optimal Power Flow in Radial Distribution Networks Including Transverse Components

Characterizations of Two Channel Orderings: Input-Degradedness and the Shannon Ordering

On the linear convergence of the stochastic gradient method with constant step-size

Constrained optimization applied to multiscale integrative modeling

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

Stochastic Forward-Douglas-Rachford Splitting for Monotone Inclusions

Robust H-infinity Controller Design Using Frequency-Domain Data via Convex Optimization

On the theory of variance reduction for stochastic gradient monte carlo

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

Constrained optimization applied to multiscale integrative modeling

On the linear convergence of the stochastic gradient method with constant step-size

Characterizations of Two Channel Orderings: Input-Degradedness and the Shannon Ordering

Robust H-infinity Controller Design Using Frequency-Domain Data via Convex Optimization

Stochastic Forward-Douglas-Rachford Splitting for Monotone Inclusions

An Exact Convex Formulation of the Optimal Power Flow in Radial Distribution Networks Including Transverse Components

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

On the theory of variance reduction for stochastic gradient monte carlo

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method