Shane T. Barratt

According to our database, Shane T. Barratt authored at least 21 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fitting feature-dependent Markov chains.

Shane T. Barratt, Stephen P. Boyd

J. Glob. Optim., November, 2023

2022

Stochastic Control With Affine Dynamics and Extended Quadratic Costs.

Shane T. Barratt, Stephen P. Boyd

IEEE Trans. Autom. Control., 2022

2021

Optimal representative sample weighting.

Shane T. Barratt, Guillermo Angeris, Stephen P. Boyd

Stat. Comput., 2021

A Distributed Method for Fitting Laplacian Regularized Stratified Models.

Jonathan Tuck, Shane T. Barratt, Stephen P. Boyd

J. Mach. Learn. Res., 2021

Learning Convex Optimization Models.

Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd

IEEE CAA J. Autom. Sinica, 2021

Covariance Prediction via Convex Optimization.

Shane T. Barratt, Stephen P. Boyd

CoRR, 2021

Low Rank Forecasting.

Shane T. Barratt, Yining Dong, Stephen P. Boyd

CoRR, 2021

2020

Minimizing a sum of clipped convex functions.

Shane T. Barratt, Guillermo Angeris, Stephen P. Boyd

Optim. Lett., 2020

Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint.

Malayandi Palan, Shane T. Barratt, Alex McCauley, Dorsa Sadigh, Vikas Sindhwani, Stephen P. Boyd

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Learning Convex Optimization Control Policies.

Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Fitting a Kalman Smoother to Data.

Shane T. Barratt, Stephen P. Boyd

Proceedings of the 2020 American Control Conference, 2020

2019

Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data.

Shane T. Barratt, Mykel J. Kochenderfer, Stephen P. Boyd

IEEE Trans. Intell. Transp. Syst., 2019

Least Squares Auto-Tuning.

Shane T. Barratt, Stephen P. Boyd

CoRR, 2019

Differentiable Convex Optimization Layers.

Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Improved Training with Curriculum GANs.

Rishi Sharma, Shane T. Barratt, Stefano Ermon, Vijay S. Pande

CoRR, 2018

Optimizing for Generalization in Machine Learning with Cross-Validation Gradients.

Shane T. Barratt, Rishi Sharma

CoRR, 2018

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

Colin de Vrieze, Shane T. Barratt, Daniel Tsai, Anant Sahai

CoRR, 2018

A Note on the Inception Score.

Shane T. Barratt, Rishi Sharma

CoRR, 2018

2017

Active Robotic Mapping through Deep Reinforcement Learning.

Shane T. Barratt

CoRR, 2017

InterpNET: Neural Introspection for Interpretable Deep Learning.

Shane T. Barratt

CoRR, 2017

2015

A non-rigid point and normal registration algorithm with applications to learning from demonstrations.

Alex X. Lee, Max A. Goldstein, Shane T. Barratt, Pieter Abbeel

Proceedings of the IEEE International Conference on Robotics and Automation, 2015