A simple mechanism for balancing at the border of instability with applications to persistent neural activity
A Simplified Approach to Recovery Conditions for Low Rank Matrices
A Simulation Approach to Optimal Stopping Under Partial Information
A Singular Value Thresholding Algorithm for Matrix Completion
A Small-Gain Theorem for a Wide Class of Feedback Systems with Control Applications
A Small-Gain Theorem for Monotone Systems with Multi-Valued Input-State Characteristics
A Small-Gain Theorem with Applications to Input/Output Systems, Incremental Stability, Detectability, and Interconnections
A smooth variant of the Afriat- Varian Theorem
A Smoothing Stochastic Gradient Method for Composite Optimization
A Soft Sensing-Based Cognitive Access Scheme Exploiting Primary Feedback
A splitting algorithm for dual monotone inclusions involving cocoercive operators
A splitting proximal point method for Nash-Cournot equilibrium models involving nonconvex cost functions
A statistical and computational theory for robust and sparse Kalman smoothing
A Stochastic Dynamic Principle for Hybrid Systems with Execution Delay and Decision Lags
A Stochastic Gradient Method with an Exponential Convergence Rate for Strongly-Convex Optimization with Finite Training Sets
A stochastic maximum principle for backward delayed system via advanced stochastic differential equation (ASDE)
A stochastic maximum principle via Malliavin calculus
A Stochastic Smoothing Algorithm for Semidefinite Programming
A stochastic-variational model for soft Mumford-Shah segmentation
A straightforward local-search optimization algorithm on the symmetric group