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Shane Barratt
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A Note on the Inception Score
S Barratt, R Sharma
ICML 2018 Workshop on Theoretical Foundations and Applications of Deep …, 2018
7262018
Differentiable Convex Optimization Layers
A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter
Advances in Neural Information Processing Systems, 9558-9570, 2019
6242019
Differentiating Through a Cone Program
A Agrawal, S Barratt, S Boyd, E Busseti, W Moursi
Journal of Applied and Numerical Optimization 1 (2), 107-115, 2019
1202019
Learning probabilistic trajectory models of aircraft in terminal airspace from position data
ST Barratt, MJ Kochenderfer, SP Boyd
IEEE Transactions on Intelligent Transportation Systems 20 (9), 3536-3545, 2018
892018
Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd, B Stellato
Learning for Dynamics and Control, 361-373, 2020
602020
On the differentiability of the solution to convex optimization problems
S Barratt
arXiv preprint arXiv:1804.05098, 2018
572018
Learning convex optimization models
A Agrawal, S Barratt, S Boyd
IEEE/CAA Journal of Automatica Sinica 8 (8), 1355-1364, 2021
382021
Fitting a Kalman Smoother to Data
S Barratt, S Boyd
American Control Conference, 1526-1531, 2020
382020
Cooperative multi-agent reinforcement learning for low-level wireless communication
C de Vrieze, S Barratt, D Tsai, A Sahai
arXiv preprint arXiv:1801.04541, 2018
342018
InterpNET: Neural Introspection for Interpretable Deep Learning
S Barratt
NIPS 2017 Interpretable Machine Learning Symposium, 2017
322017
Least Squares Auto-Tuning
S Barratt, S Boyd
Engineering Optimization, 1-22, 2020
312020
Improved training with curriculum gans
R Sharma, S Barratt, S Ermon, V Pande
arXiv preprint arXiv:1807.09295, 2018
292018
A Distributed Method for Fitting Laplacian Regularized Stratified Models
J Tuck, S Barratt, S Boyd
Journal of Machine Learning Research, to appear, 2019
262019
Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint
M Palan, S Barratt, A McCauley, D Sadigh, V Sindhwani, S Boyd
Learning for Decision and Control, 2020
212020
A non-rigid point and normal registration algorithm with applications to learning from demonstrations
AX Lee, MA Goldstein, ST Barratt, P Abbeel
2015 IEEE International Conference on Robotics and Automation (ICRA), 935-942, 2015
152015
Stochastic Control with Affine Dynamics and Extended Quadratic Costs
S Barratt, S Boyd
IEEE Transactions on Automatic Control, to appear, 2020
142020
Covariance prediction via convex optimization
S Barratt, S Boyd
Optimization and Engineering 24 (3), 2045-2078, 2023
102023
Optimal representative sample weighting
S Barratt, G Angeris, S Boyd
Statistics and Computing 31, 1-14, 2021
102021
Minimizing a Sum of Clipped Convex Functions
S Barratt, G Angeris, S Boyd
Optimization Letters 14 (8), 2443-2459, 2020
92020
Fitting feature-dependent Markov chains
S Barratt, S Boyd
Journal of Global Optimization 87 (2), 329-346, 2023
82023
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Articles 1–20