Brendan O'Donoghue

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Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordAdresse e-mail validée de stanford.edu
Pushmeet KohliDeepMindAdresse e-mail validée de google.com
Neal ParikhColumbia UniversityAdresse e-mail validée de nparikh.org
Ian OsbandOpenAIAdresse e-mail validée de openai.com
Tom ZahavyStaff Research Scientist, Google DeepMindAdresse e-mail validée de deepmind.com
Eric ChuZooxAdresse e-mail validée de cs.stanford.edu
Rémi MunosFAIR, MetaAdresse e-mail validée de inria.fr
Satinder SinghGoogle DeepMind / U. of MichiganAdresse e-mail validée de umich.edu
Volodymyr MnihDeepMindAdresse e-mail validée de cs.toronto.edu
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandAdresse e-mail validée de cs.umd.edu
Simon SetzerSaarland UniversityAdresse e-mail validée de mia.uni-saarland.de
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityAdresse e-mail validée de rice.edu
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Vinod NairResearch Scientist, DeepMindAdresse e-mail validée de google.com
Ivan LobovCriteoAdresse e-mail validée de criteo.com
Ingrid von GlehnDeepMindAdresse e-mail validée de google.com
Nicolas SonneratDeepMindAdresse e-mail validée de google.com
Pawel LichockiSoftware Engineer, Google Inc.Adresse e-mail validée de google.com
Aäron van den OordGoogle DeepMindAdresse e-mail validée de google.com
Junzi ZhangCitadel Securities; Amazon; Stanford UniversityAdresse e-mail validée de stanford.edu

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Brendan O'Donoghue

Stanford University, Google DeepMind

Adresse e-mail validée de alumni.stanford.edu - Page d'accueil

Optimization Control Machine Learning Reinforcement Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	2605	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	962	2014
Adaptive restart for accelerated gradient schemes B O’Donoghue, E Candes Foundations of computational mathematics 15 (3), 715-732, 2015	915	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	871	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	698	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	329	2020
Combining policy gradient and Q-learning B O'Donoghue, R Munos, K Kavukcuoglu, V Mnih International Conference on Learning Representations, 2017	271*	2017
The Uncertainty Bellman Equation and Exploration B O'Donoghue, I Osband, R Munos, V Mnih International Conference on Machine Learning, 2018	259	2018
A splitting method for optimal control B O'Donoghue, G Stathopoulos, S Boyd IEEE Transactions on Control Systems Technology 21 (6), 2432-2442, 2013	219	2013
SCS: Splitting conic solver B O’Donoghue, E Chu, N Parikh, S Boyd	192*	2016
Training verified learners with learned verifiers K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ... arXiv preprint arXiv:1805.10265, 2018	186	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	172	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	132	2015
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	127	2021
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	110	2015
Operator splitting for a homogeneous embedding of the linear complementarity problem B O'Donoghue SIAM Journal on Optimization 31 (3), 1999-2023, 2021	100	2021
Practical large-scale linear programming using primal-dual hybrid gradient D Applegate, M Díaz, O Hinder, H Lu, M Lubin, B O'Donoghue, W Schudy Advances in Neural Information Processing Systems 34, 20243-20257, 2021	88	2021
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	85	2013
Reward is enough for convex mdps T Zahavy, B O'Donoghue, G Desjardins, S Singh Advances in Neural Information Processing Systems 34, 25746-25759, 2021	83	2021
Hamiltonian descent methods CJ Maddison, D Paulin, YW Teh, B O'Donoghue, A Doucet arXiv preprint arXiv:1809.05042, 2018	78	2018

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