Shane Barratt
Title
Cited by
Cited by
Year
A Note on the Inception Score
S Barratt, R Sharma
ICML 2018 Workshop on Theoretical Foundations and Applications of Deep …, 2018
2672018
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
572019
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
212019
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
182018
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
132015
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
122018
On the Differentiability of the Solution to Convex Optimization Problems
S Barratt
arXiv preprint arXiv:1804.05098, 2018
112018
InterpNET: Neural Introspection for Interpretable Deep Learning
S Barratt
NIPS 2017 Interpretable Machine Learning Symposium, 2017
112017
Improved Training with Curriculum GANs
R Sharma, S Barratt, S Ermon, V Pande
arXiv preprint arXiv:1807.09295, 2018
102018
Fitting a Kalman Smoother to Data
S Barratt, S Boyd
American Control Conference, To appear, 2019
92019
Least Squares Auto-Tuning
S Barratt, S Boyd
Engineering Optimization, To appear, 2019
72019
A Distributed Method for Fitting Laplacian Regularized Stratified Models
J Tuck, S Barratt, S Boyd
arXiv preprint arXiv:1904.12017, 2019
62019
Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd, B Stellato
Learning for Decision and Control, To appear, 2019
52019
Stochastic Control with Affine Dynamics and Extended Quadratic Costs
S Barratt, S Boyd
arXiv preprint arXiv:1811.00168, 2018
52018
Minimizing a Sum of Clipped Convex Functions
S Barratt, G Angeris, S Boyd
Optimization Letters, To appear, 2019
32019
Optimizing for Generalization in Machine Learning with Cross-Validation Gradients
S Barratt, R Sharma
arXiv preprint arXiv:1805.07072, 2018
32018
Multi-Period Liability Clearing via Convex Optimal Control
S Barratt, S Boyd
arXiv preprint arXiv:2005.09066, 2020
22020
Automatic Repair of Convex Optimization Problems
S Barratt, G Angeris, S Boyd
22020
Active Robotic Mapping through Deep Reinforcement Learning
S Barratt
arXiv preprint arXiv:1712.10069, 2017
22017
Systems and methods for discovering automatable tasks
Y Kim, A Qadir, A Narayanaswamy, RN Murty, S Barratt, GP Nychis
US Patent 10,120,653, 2018
12018
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Articles 1–20