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20052026
most citedSimplicial Closure and higher-order link prediction

555 citations · 2.5k across the 105 of their papers we have counts for

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Showing 2018 · math.OCShow all

6 papers · 2 filters

math.OC2018

On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs

César A. Uribe, Ali Jadbabaie

We study the convergence of the log-linear non-Bayesian social learning update rule, for a group of agents that collectively seek to identify a parameter that best describes a join…

math.OC2018

Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE

Jingzhao Zhang, César A. Uribe, Aryan Mokhtari +1

We develop a distributed algorithm for convex Empirical Risk Minimization, the problem of minimizing large but finite sum of convex functions over networks. The proposed algorithm…

math.OC2018★ 4 cited

Efficiently testing local optimality and escaping saddles for ReLU networks

Chulhee Yun, Suvrit Sra, Ali Jadbabaie

We provide a theoretical algorithm for checking local optimality and escaping saddles at nondifferentiable points of empirical risks of two-layer ReLU networks. Our algorithm recei…

math.OC2018★ 55 cited

Direct Runge-Kutta Discretization Achieves Acceleration

Jingzhao Zhang, Aryan Mokhtari, Suvrit Sra +1

We study gradient-based optimization methods obtained by directly discretizing a second-order ordinary differential equation (ODE) related to the continuous limit of Nesterov's acc…

math.OC2018★ 28 cited

Resilient Non-Submodular Maximization over Matroid Constraints

Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas

The control and sensing of large-scale systems results in combinatorial problems not only for sensor and actuator placement but also for scheduling or observability/controllability…

math.OC2018

LQG Control and Sensing Co-Design

Vasileios Tzoumas, Luca Carlone, George J. Pappas +1

We investigate a Linear-Quadratic-Gaussian (LQG) control and sensing co-design problem, where one jointly designs sensing and control policies. We focus on the realistic case where…