Boyd, Stephen

14 publications

L4DC 2025 Informative Input Design for Dynamic Mode Decomposition Joshua Ott, Mykel Kochenderfer, Stephen Boyd

JMLR 2021 A Distributed Method for Fitting Laplacian Regularized Stratified Models Jonathan Tuck, Shane Barratt, Stephen Boyd

L4DC 2020 Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint Malayandi Palan, Shane Barratt, Alex McCauley, Dorsa Sadigh, Vikas Sindhwani, Stephen Boyd

L4DC 2020 Learning Convex Optimization Control Policies Akshay Agrawal, Shane Barratt, Stephen Boyd, Bartolomeo Stellato

NeurIPS 2019 Differentiable Convex Optimization Layers Akshay Agrawal, Brandon Amos, Shane Barratt, Stephen Boyd, Steven Diamond, J. Zico Kolter

MLOSS 2017 SnapVX: A Network-Based Convex Optimization Solver David Hallac, Christopher Wong, Steven Diamond, Abhijit Sharang, Rok Sosič, Stephen Boyd, Jure Leskovec

NeurIPS 2017 Stochastic Mirror Descent in Variationally Coherent Optimization Problems Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen Boyd, Peter W. Glynn

JMLR 2016 A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su, Stephen Boyd, Emmanuel J. Candès

MLOSS 2016 CVXPY: A Python-Embedded Modeling Language for Convex Optimization Steven Diamond, Stephen Boyd

ICCV 2015 Convex Optimization with Abstract Linear Operators Steven Diamond, Stephen Boyd

NeurIPS 2014 A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights Weijie Su, Stephen Boyd, Emmanuel Candes

NeurIPS 2012 Accuracy at the Top Stephen Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic

JMLR 2007 An Interior-Point Method for Large-Scale L1-Regularized Logistic Regression Kwangmoo Koh, Seung-Jean Kim, Stephen Boyd

NeurIPS 2005 Robust Fisher Discriminant Analysis Seung-jean Kim, Alessandro Magnani, Stephen Boyd