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
Eric ChuGraduate Student, Stanford UniversityVerified email at cs.stanford.edu
Jonathan UesatoDeepMindVerified email at google.com
Rémi MunosDeepMindVerified email at inria.fr
Ian OsbandDeepMindVerified email at google.com
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
Volodymyr MnihDeepMindVerified email at cs.toronto.edu
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityVerified email at stanford.edu
koray kavukcuogluDeepMindVerified email at kavukcuoglu.org
Sven GowalDeepMindVerified email at deepmind.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
Junzi ZhangStanford UniversityVerified email at stanford.edu
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.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	1079	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	674	2014
Adaptive restart for accelerated gradient schemes B O’Donoghue, E Candes Foundations of computational mathematics 15 (3), 715-732, 2015	587	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	427*	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	282	2018
Combining policy gradient and Q-learning B O'Donoghue, R Munos, K Kavukcuoglu, V Mnih International Conference on Learning Representations, 2017	167	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	162	2013
Training verified learners with learned verifiers K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ... arXiv preprint arXiv:1805.10265, 2018	105	2018
The Uncertainty Bellman Equation and Exploration B O'Donoghue, I Osband, R Munos, V Mnih International Conference on Machine Learning, 2018	101	2018
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	95	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	88*	2015
SCS: Splitting conic solver B O’Donoghue, E Chu, N Parikh, S Boyd	87*	2016
Performance bounds and suboptimal policies for multi-period investment SP Boyd, MT Mueller, B O'Donoghue, Y Wang Now Publishers, 2014	70	2014
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	43	2020
Hamiltonian descent methods CJ Maddison, D Paulin, YW Teh, B O'Donoghue, A Doucet arXiv preprint arXiv:1809.05042, 2018	42	2018
Min-max approximate dynamic programming B O'Donoghue, Y Wang, S Boyd 2011 IEEE International Symposium on Computer-Aided Control System Design …, 2011	30	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	26	2019
Variational bayesian reinforcement learning with regret bounds B O'Donoghue arXiv preprint arXiv:1807.09647, 2018	16	2018
A primal-dual operator splitting method for conic optimization E Chu, B O’Donoghue, N Parikh, S Boyd Stanford Internal Report, 2013	13	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	12	2020

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