Brendan O'Donoghue

Cited by

	All	Since 2016
Citations	3687	3257
h-index	17	16
i10-index	19	17

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201220132014201520162017201820192020202116 44 133 184 257 306 477 869 1159 166

Co-authors

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
Eric ChuGraduate Student, Stanford UniversityVerified email at cs.stanford.edu
Rémi MunosDeepMindVerified email at inria.fr
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 BaraniukVictor E. Cameron Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
koray kavukcuogluDeepMindVerified email at kavukcuoglu.org
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityVerified email at stanford.edu
Ian OsbandDeepMindVerified email at google.com
Sven GowalDeepMindVerified email at google.com
Aäron van den OordGoogle DeepMindVerified email at google.com
Khaled B. LetaiefNew Bright Professor of Engineering and Chair Professor, HKUSTVerified email at ust.hk
Giorgos StathopoulosEcole Polytechnique Federale de LausanneVerified email at epfl.ch
Mark MuellerResearch Affiliate, MITVerified email at mit.edu
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
Krishnamurthy DvijothamResearch Scientist, DeepMindVerified email at cs.washington.edu
Relja Arandjelović / Реља Аранђелов...DeepMindVerified 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	889	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	644	2014
Adaptive restart for accelerated gradient schemes B O’Donoghue, E Candes Foundations of computational mathematics 15 (3), 715-732, 2015	541	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	384*	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	251	2018
Combining policy gradient and Q-learning B O'Donoghue, R Munos, K Kavukcuoglu, V Mnih International Conference on Learning Representations, 2017	154	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	150	2013
Training verified learners with learned verifiers K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ... arXiv preprint arXiv:1805.10265, 2018	91	2018
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	85*	2015
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	85	2015
SCS: Splitting conic solver B O’Donoghue, E Chu, N Parikh, S Boyd	78*	2016
The Uncertainty Bellman Equation and Exploration B O'Donoghue, I Osband, R Munos, V Mnih International Conference on Machine Learning, 2018	77	2018
Performance bounds and suboptimal policies for multi-period investment SP Boyd, MT Mueller, B O'Donoghue, Y Wang Now Publishers, 2014	64	2014
Hamiltonian descent methods CJ Maddison, D Paulin, YW Teh, B O'Donoghue, A Doucet arXiv preprint arXiv:1809.05042, 2018	36	2018
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	32	2020
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
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	21	2019
A primal-dual operator splitting method for conic optimization E Chu, B O’Donoghue, N Parikh, S Boyd Stanford Internal Report, 2013	13	2013
Iterated approximate value functions B O'Donoghue, Y Wang, S Boyd 2013 European Control Conference (ECC), 3882-3888, 2013	10	2013
Variational bayesian reinforcement learning with regret bounds B O'Donoghue arXiv preprint arXiv:1807.09647, 2018	9	2018

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