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 ParikhNYC Mayor's OfficeVerified email at nparikh.org
Jonathan UesatoDeepMindVerified email at google.com
Eric ChuGraduate Student, Stanford UniversityVerified email at cs.stanford.edu
Rémi MunosDeepMindVerified email at inria.fr
Ian OsbandDeepMindVerified email at google.com
Volodymyr MnihDeepMindVerified email at cs.toronto.edu
Tom GoldsteinPerotto 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
koray kavukcuogluDeepMindVerified email at kavukcuoglu.org
Aäron van den OordGoogle DeepMindVerified email at google.com
Sven GowalDeepMindVerified email at deepmind.com
Junzi ZhangStanford 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
Giorgos StathopoulosEcole Polytechnique Federale de LausanneVerified email at epfl.ch
Grzegorz SwirszczDeepMindVerified email at google.com
Krishnamurthy DvijothamResearch Scientist, Google BrainVerified email at cs.washington.edu

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	1525	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	760	2014
Adaptive restart for accelerated gradient schemes B O’Donoghue, E Candes Foundations of computational mathematics 15 (3), 715-732, 2015	683	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	528	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	409	2018
Combining policy gradient and Q-learning B O'Donoghue, R Munos, K Kavukcuoglu, V Mnih International Conference on Learning Representations, 2017	194*	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	177	2013
The Uncertainty Bellman Equation and Exploration B O'Donoghue, I Osband, R Munos, V Mnih International Conference on Machine Learning, 2018	139	2018
Training verified learners with learned verifiers K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ... arXiv preprint arXiv:1805.10265, 2018	134	2018
SCS: Splitting conic solver B O’Donoghue, E Chu, N Parikh, S Boyd	121*	2016
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	107	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	94*	2015
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	85	2020
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	75	2013
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	69	2020
Hamiltonian descent methods CJ Maddison, D Paulin, YW Teh, B O'Donoghue, A Doucet arXiv preprint arXiv:1809.05042, 2018	48	2018
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	31	2019
Min-max approximate dynamic programming B O'Donoghue, Y Wang, S Boyd 2011 IEEE International Symposium on Computer-Aided Control System Design …, 2011	31	2011
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	26	2021
Variational bayesian reinforcement learning with regret bounds B O'Donoghue Advances in Neural Information Processing Systems 34, 28208-28221, 2021	22	2021

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