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20122023
most citedAnalysis and Design of Optimization Algorithms via Integral Quadratic Constraints

383 citations · 773 across the 39 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

math.OC2021★ 6 cited

The Speed-Robustness Trade-Off for First-Order Methods with Additive Gradient Noise

Bryan Van Scoy, Laurent Lessard

We study the trade-off between convergence rate and sensitivity to stochastic additive gradient noise for first-order optimization methods. Ordinary Gradient Descent (GD) can be ma…

math.OC2021★ 4 cited

An automatic system to detect equivalence between iterative algorithms

Shipu Zhao, Laurent Lessard, Madeleine Udell

When are two algorithms the same? How can we be sure a recently proposed algorithm is novel, and not a minor twist on an existing method? In this paper, we present a framework for…

eess.SY2021

Toward a Scalable Upper Bound for a CVaR-LQ Problem

Margaret P. Chapman, Laurent Lessard

We study a linear-quadratic, optimal control problem on a discrete, finite time horizon with distributional ambiguity, in which the cost is assessed via Conditional Value-at-Risk (…

cs.LG2021★ 6 cited

Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization

Guodong Zhang, Yuanhao Wang, Laurent Lessard +1

Smooth minimax games often proceed by simultaneous or alternating gradient updates. Although algorithms with alternating updates are commonly used in practice, the majority of exis…

math.OC2021

Generalized Necessary and Sufficient Robust Boundedness Results for Feedback Systems

Saman Cyrus, Laurent Lessard

Classical sufficient conditions for ensuring the robust stability of a dynamical system in feedback with a nonlinearity include passivity, small gain, circle, and conicity theorems…