Brendan O'Donoghue

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Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordVerified email at stanford.edu
Pushmeet KohliDeepMindVerified email at google.com
Neal ParikhColumbia UniversityVerified email at nparikh.org
Jonathan UesatoDeepMindVerified email at google.com
Ian OsbandDeepMindVerified email at google.com
Eric ChuZooxVerified email at cs.stanford.edu
Rémi MunosDeepMindVerified email at inria.fr
Volodymyr MnihDeepMindVerified email at cs.toronto.edu
Tom GoldsteinVolpi-Cupal Associate Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Simon SetzerSaarland UniversityVerified email at mia.uni-saarland.de
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityVerified email at stanford.edu
Satinder SinghDeepMind / U. of MichiganVerified email at umich.edu
Tom ZahavySenior Research Scientist, DeepMindVerified email at deepmind.com
Aäron van den OordGoogle DeepMindVerified email at google.com
koray kavukcuogluDeepMindVerified email at kavukcuoglu.org
Sven GowalDeepMindVerified email at deepmind.com
Junzi ZhangCitadel Securities; Amazon; Stanford UniversityVerified email at stanford.edu
Khaled B. LetaiefMember of US National Academy of Engineering and New Bright Professor of Engineering, HKUSTVerified email at ust.hk
Grzegorz SwirszczDeepMindVerified email at google.com

Brendan O'Donoghue

Stanford University, DeepMind

Verified email at alumni.stanford.edu - Homepage

Optimization Control Machine Learning Reinforcement Learning


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Clinically applicable deep learning for diagnosis and referral in retinal disease J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ... Nature medicine 24 (9), 1342-1350, 2018	1883	2018
Fast alternating direction optimization methods T Goldstein, B O'Donoghue, S Setzer, R Baraniuk SIAM Journal on Imaging Sciences 7 (3), 1588-1623, 2014	813	2014
Adaptive restart for accelerated gradient schemes B O’Donoghue, E Candes Foundations of computational mathematics 15 (3), 715-732, 2015	745	2015
Conic optimization via operator splitting and homogeneous self-dual embedding B O’Donoghue, E Chu, N Parikh, S Boyd Journal of Optimization Theory and Applications 169 (3), 1042-1068, 2016	619	2016
Adversarial risk and the dangers of evaluating against weak attacks J Uesato, B O'Donoghue, A Oord, P Kohli 35th International Conference on Machine Learning (ICML), 2018	495	2018
Combining policy gradient and Q-learning B O'Donoghue, R Munos, K Kavukcuoglu, V Mnih International Conference on Learning Representations, 2017	209	2017
A splitting method for optimal control B O'Donoghue, G Stathopoulos, S Boyd IEEE Transactions on Control Systems Technology 21 (6), 2432-2442, 2013	189	2013
The Uncertainty Bellman Equation and Exploration B O'Donoghue, I Osband, R Munos, V Mnih International Conference on Machine Learning, 2018	173	2018
Training verified learners with learned verifiers K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ... arXiv preprint arXiv:1805.10265, 2018	160	2018
Solving mixed integer programs using neural networks V Nair, S Bartunov, F Gimeno, I Von Glehn, P Lichocki, I Lobov, ... arXiv preprint arXiv:2012.13349, 2020	135	2020
SCS: Splitting conic solver B O’Donoghue, E Chu, N Parikh, S Boyd	128*	2016
Globally convergent type-I Anderson acceleration for nonsmooth fixed-point iterations J Zhang, B O'Donoghue, S Boyd SIAM Journal on Optimization 30 (4), 3170-3197, 2020	115	2020
Large-scale convex optimization for dense wireless cooperative networks Y Shi, J Zhang, B O'Donoghue, KB Letaief IEEE Transactions on Signal Processing 63 (18), 4729-4743, 2015	112	2015
Approximate dynamic programming via iterated Bellman inequalities Y Wang, B O'Donoghue, S Boyd International Journal of Robust and Nonlinear Control 25 (10), 1472-1496, 2015	99*	2015
Performance bounds and suboptimal policies for multi–period investment S Boyd, MT Mueller, B O’Donoghue, Y Wang Foundations and Trends® in Optimization 1 (1), 1-72, 2013	81	2013
Hamiltonian descent methods CJ Maddison, D Paulin, YW Teh, B O'Donoghue, A Doucet arXiv preprint arXiv:1809.05042, 2018	52	2018
Sample efficient reinforcement learning with REINFORCE J Zhang, J Kim, B O'Donoghue, S Boyd Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10887 …, 2021	47	2021
Verification of non-linear specifications for neural networks C Qin, B O'Donoghue, R Bunel, R Stanforth, S Gowal, J Uesato, ... arXiv preprint arXiv:1902.09592, 2019	38	2019
Variational Bayesian reinforcement learning with regret bounds B O'Donoghue Advances in Neural Information Processing Systems 34, 28208-28221, 2021	32	2021
Min-max approximate dynamic programming B O'Donoghue, Y Wang, S Boyd 2011 IEEE International Symposium on Computer-Aided Control System Design …, 2011	32	2011

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