Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Stephen Boyd

A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer


Feb 15, 2022
Gabriel Maher, Stephen Boyd, Mykel Kochenderfer, Cristian Matache, Alex Ulitsky, Slava Yukhymuk, Leonid Kopman


  Access Paper or Ask Questions

Minimum-Distortion Embedding


Mar 20, 2021
Akshay Agrawal, Alnur Ali, Stephen Boyd


  Access Paper or Ask Questions

Covariance Prediction via Convex Optimization


Jan 29, 2021
Shane Barratt, Stephen Boyd


  Access Paper or Ask Questions

Low Rank Forecasting


Jan 29, 2021
Shane Barratt, Yining Dong, Stephen Boyd


  Access Paper or Ask Questions

Sample Efficient Reinforcement Learning with REINFORCE


Oct 22, 2020
Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen Boyd

* 35 pages 

  Access Paper or Ask Questions

Learning Convex Optimization Models


Jun 18, 2020
Akshay Agrawal, Shane Barratt, Stephen Boyd

* Authors listed in alphabetical order 

  Access Paper or Ask Questions

Fitting Laplacian Regularized Stratified Gaussian Models


May 22, 2020
Jonathan Tuck, Stephen Boyd


  Access Paper or Ask Questions

Optimal Representative Sample Weighting


May 18, 2020
Shane Barratt, Guillermo Angeris, Stephen Boyd


  Access Paper or Ask Questions

Eigen-Stratified Models


Jan 27, 2020
Jonathan Tuck, Stephen Boyd


  Access Paper or Ask Questions

Learning Convex Optimization Control Policies


Dec 19, 2019
Akshay Agrawal, Shane Barratt, Stephen Boyd, Bartolomeo Stellato

* Authors listed in alphabetical order 

  Access Paper or Ask Questions

Minimizing a Sum of Clipped Convex Functions


Oct 29, 2019
Shane Barratt, Guillermo Angeris, Stephen Boyd


  Access Paper or Ask Questions

Differentiable Convex Optimization Layers


Oct 28, 2019
Akshay Agrawal, Brandon Amos, Shane Barratt, Stephen Boyd, Steven Diamond, Zico Kolter

* In NeurIPS 2019. Code available at https://www.github.com/cvxgrp/cvxpylayers. Authors in alphabetical order 

  Access Paper or Ask Questions

Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize


Oct 15, 2019
Youngsuk Park, Sauptik Dhar, Stephen Boyd, Mohak Shah


  Access Paper or Ask Questions

A General Optimization Framework for Dynamic Time Warping


May 31, 2019
Dave Deriso, Stephen Boyd

* 22 pages, 11 figures 

  Access Paper or Ask Questions

A Distributed Method for Fitting Laplacian Regularized Stratified Models


Apr 26, 2019
Jonathan Tuck, Shane Barratt, Stephen Boyd

* 37 pages, 6 figures 

  Access Paper or Ask Questions

Least Squares Auto-Tuning


Apr 10, 2019
Shane Barratt, Stephen Boyd


  Access Paper or Ask Questions

Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data


Oct 22, 2018
Shane Barratt, Mykel Kochenderfer, Stephen Boyd

* IEEE Transactions on Intelligent Transportation Systems 

  Access Paper or Ask Questions

On the convergence of mirror descent beyond stochastic convex programming


Jul 16, 2018
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen Boyd, Peter Glynn

* 30 pages, 5 figures 

  Access Paper or Ask Questions

Convolutional Imputation of Matrix Networks


Jun 07, 2018
Qingyun Sun, Mengyuan Yan David Donoho, Stephen Boyd

* Accepted by ICML 2018 

  Access Paper or Ask Questions

Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data


May 15, 2018
David Hallac, Sagar Vare, Stephen Boyd, Jure Leskovec

* This revised version fixes two small typos in the published version 

  Access Paper or Ask Questions

Saturating Splines and Feature Selection


Dec 04, 2017
Nicholas Boyd, Trevor Hastie, Stephen Boyd, Benjamin Recht, Michael Jordan

* Adding missing references and related work 

  Access Paper or Ask Questions

Network Inference via the Time-Varying Graphical Lasso


Jun 10, 2017
David Hallac, Youngsuk Park, Stephen Boyd, Jure Leskovec


  Access Paper or Ask Questions

Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data


Jan 23, 2017
Steven Diamond, Vincent Sitzmann, Stephen Boyd, Gordon Wetzstein, Felix Heide


  Access Paper or Ask Questions

A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights


Oct 27, 2015
Weijie Su, Stephen Boyd, Emmanuel J. Candes

* To appear in Journal of Machine Learning Research. Added more simulation studies. Preliminary version appeared in NIPS 2014 

  Access Paper or Ask Questions

Generalized Low Rank Models


May 05, 2015
Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen Boyd

* 84 pages, 19 figures 

  Access Paper or Ask Questions

Convex Optimization in Julia


Oct 17, 2014
Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen Boyd

* To appear in Proceedings of the Workshop on High Performance Technical Computing in Dynamic Languages (HPTCDL) 2014 

  Access Paper or Ask Questions