Shane Barratt

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	All	Since 2016
Citations	493	491
h-index	10	10
i10-index	10	10

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20152016201720182019202020212 1 5 72 146 253 7

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Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordVerified email at stanford.edu
Rishi SharmaStanford UniversityVerified email at stanford.edu
Akshay AgrawalPh.D. candidate in Electrical Engineering, Stanford UniversityVerified email at cs.stanford.edu
Brandon AmosFacebook AI (FAIR)Verified email at fb.com
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu
Steven DiamondBlackRock AI LabsVerified email at cs.stanford.edu
Guillermo AngerisBS/MS/PhD student at Stanford UniversityVerified email at stanford.edu
Walaa MoursiUniversity of WaterlooVerified email at uwaterloo.ca
Anant SAHAIEECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Daniel TsaiApple Inc.Verified email at berkeley.edu
Jonathan TuckGraduate Student, Stanford UniversityVerified email at stanford.edu
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Alex X. LeePhD student of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Mykel J. KochenderferAssociate Professor, Stanford UniversityVerified email at stanford.edu
Stefano ErmonStanford UniversityVerified email at cs.stanford.edu
Vijay PandeProfessor of Chemistry, Stanford UniversityVerified email at stanford.edu
Bartolomeo StellatoAssistant Professor, Princeton UniversityVerified email at princeton.edu
Yining DongCity University of Hong KongVerified email at cityu.edu.hk
Vikas SindhwaniGoogle BrainVerified email at google.com
Malayandi PalanStanford UniversityVerified email at stanford.edu

Shane Barratt

PhD Student, Stanford University

Verified email at stanford.edu - Homepage

Convex Optimization Machine Learning Control Artificial Intelligence Finance


Title Sort by citations Sort by year Sort by 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	276	2018
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	62	2019
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	21	2019
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	20	2018
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	13	2015
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	12	2018
InterpNET: Neural Introspection for Interpretable Deep Learning S Barratt NIPS 2017 Interpretable Machine Learning Symposium, 2017	12	2017
Fitting a Kalman Smoother to Data S Barratt, S Boyd American Control Conference, To appear, 2019	11	2019
On the Differentiability of the Solution to Convex Optimization Problems S Barratt arXiv preprint arXiv:1804.05098, 2018	11	2018
Improved Training with Curriculum GANs R Sharma, S Barratt, S Ermon, V Pande arXiv preprint arXiv:1807.09295, 2018	10	2018
Least Squares Auto-Tuning S Barratt, S Boyd Engineering Optimization, To appear, 2019	8	2019
A Distributed Method for Fitting Laplacian Regularized Stratified Models J Tuck, S Barratt, S Boyd arXiv preprint arXiv:1904.12017, 2019	7	2019
Learning Convex Optimization Control Policies A Agrawal, S Barratt, S Boyd, B Stellato Learning for Decision and Control, To appear, 2019	6	2019
Stochastic Control with Affine Dynamics and Extended Quadratic Costs S Barratt, S Boyd arXiv preprint arXiv:1811.00168, 2018	6	2018
Minimizing a Sum of Clipped Convex Functions S Barratt, G Angeris, S Boyd Optimization Letters, To appear, 2019	4	2019
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	3	2018
Optimizing for Generalization in Machine Learning with Cross-Validation Gradients S Barratt, R Sharma arXiv preprint arXiv:1805.07072, 2018	3	2018
Active Robotic Mapping through Deep Reinforcement Learning S Barratt arXiv preprint arXiv:1712.10069, 2017	3	2017
Multi-Period Liability Clearing via Convex Optimal Control S Barratt, S Boyd arXiv preprint arXiv:2005.09066, 2020	2	2020
Automatic Repair of Convex Optimization Problems S Barratt, G Angeris, S Boyd	2	2020

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