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Covariance Prediction via Convex Optimization


Jan 29, 2021
Shane Barratt, Stephen Boyd


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Low Rank Forecasting


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


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Learning Convex Optimization Models


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

* Authors listed in alphabetical order 

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Optimal Representative Sample Weighting


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


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Learning Convex Optimization Control Policies


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

* Authors listed in alphabetical order 

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Minimizing a Sum of Clipped Convex Functions


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


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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 

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A Distributed Method for Fitting Laplacian Regularized Stratified Models


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

* 37 pages, 6 figures 

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Least Squares Auto-Tuning


Apr 10, 2019
Shane Barratt, Stephen Boyd


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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 

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Improved Training with Curriculum GANs


Jul 24, 2018
Rishi Sharma, Shane Barratt, Stefano Ermon, Vijay Pande


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A Note on the Inception Score


Jun 21, 2018
Shane Barratt, Rishi Sharma

* Proc. ICML 2018 Workshop on Theoretical Foundations and Applications of Deep Generative Models 

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Optimizing for Generalization in Machine Learning with Cross-Validation Gradients


May 18, 2018
Shane Barratt, Rishi Sharma

* 11 pages 

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Cooperative Multi-Agent Reinforcement Learning for Low-Level Wireless Communication


Jan 14, 2018
Colin de Vrieze, Shane Barratt, Daniel Tsai, Anant Sahai


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Active Robotic Mapping through Deep Reinforcement Learning


Dec 28, 2017
Shane Barratt


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InterpNET: Neural Introspection for Interpretable Deep Learning


Nov 16, 2017
Shane Barratt

* Presented at NIPS 2017 Symposium on Interpretable Machine Learning 

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