activity
20012023
most citedGuaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization

3.6k citations · 12.2k across the 96 of their papers we have counts for

collaborators
Showing math.OCShow all

25 papers · 1 filter

math.OC2020

Approximately Exact Line Search

Sara Fridovich-Keil, Benjamin Recht

We propose approximately exact line search (AELS), which uses only function evaluations to select a step size within a constant fraction of the exact line search minimizer of a uni…

math.OC2019★ 34 cited

Robust Guarantees for Perception-Based Control

Sarah Dean, Nikolai Matni, Benjamin Recht +1

Motivated by vision-based control of autonomous vehicles, we consider the problem of controlling a known linear dynamical system for which partial state information, such as vehicl…

math.OC2019★ 4 cited

First-order methods almost always avoid saddle points: the case of vanishing step-sizes

Ioannis Panageas, Georgios Piliouras, Xiao Wang

In a series of papers \cite{LSJR16, PP17, LPP}, it was established that some of the most commonly used first order methods almost surely (under random initializations) and with ste…

math.OC2019★ 42 cited

Certainty Equivalence is Efficient for Linear Quadratic Control

Horia Mania, Stephen Tu, Benjamin Recht

We study the performance of the certainty equivalent controller on Linear Quadratic (LQ) control problems with unknown transition dynamics. We show that for both the fully and part…

math.OC2018★ 1 cited

Minimax Lower Bounds for -Norm Estimation

Stephen Tu, Ross Boczar, Benjamin Recht

The problem of estimating the -norm of an LTI system from noisy input/output measurements has attracted recent attention as an alternative to parameter identifi…

math.OC2018

Safely Learning to Control the Constrained Linear Quadratic Regulator

Sarah Dean, Stephen Tu, Nikolai Matni +1

We study the constrained linear quadratic regulator with unknown dynamics, addressing the tension between safety and exploration in data-driven control techniques. We present a fra…