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
2342018
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
382019
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
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
172019
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
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
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
82018
Improved Training with Curriculum GANs
R Sharma, S Barratt, S Ermon, V Pande
arXiv preprint arXiv:1807.09295, 2018
82018
Fitting a Kalman Smoother to Data
S Barratt, S Boyd
American Control Conference, To appear, 2019
72019
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
42019
Stochastic Control with Affine Dynamics and Extended Quadratic Costs
S Barratt, S Boyd
arXiv preprint arXiv:1811.00168, 2018
42018
Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd, B Stellato
Learning for Decision and Control, 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
Minimizing a Sum of Clipped Convex Functions
S Barratt, G Angeris, S Boyd
Optimization Letters, To appear, 2019
22019
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
22018
Active Robotic Mapping through Deep Reinforcement Learning
S Barratt
arXiv preprint arXiv:1712.10069, 2017
22017
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Articles 1–20