Brendan O'Donoghue
Brendan O'Donoghue
Stanford University, DeepMind
Email verificata su - Home page
Citata da
Citata da
Fast alternating direction optimization methods
T Goldstein, B O'Donoghue, S Setzer, R Baraniuk
SIAM Journal on Imaging Sciences 7 (3), 1588-1623, 2014
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
Adaptive restart for accelerated gradient schemes
B O’Donoghue, E Candes
Foundations of computational mathematics 15 (3), 715-732, 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
Adversarial risk and the dangers of evaluating against weak attacks
J Uesato, B O'Donoghue, A Oord, P Kohli
International Conference on Machine Learning, 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
Combining policy gradient and Q-learning
B O'Donoghue, R Munos, K Kavukcuoglu, V Mnih
International Conference on Learning Representations, 2017
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
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
SCS: Splitting conic solver
B O’Donoghue, E Chu, N Parikh, S Boyd
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
Training verified learners with learned verifiers
K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ...
arXiv preprint arXiv:1805.10265, 2018
The Uncertainty Bellman Equation and Exploration
B O'Donoghue, I Osband, R Munos, V Mnih
International Conference on Machine Learning, 2018
Min-max approximate dynamic programming
B O'Donoghue, Y Wang, S Boyd
2011 IEEE International Symposium on Computer-Aided Control System Design…, 2011
Hamiltonian descent methods
CJ Maddison, D Paulin, YW Teh, B O'Donoghue, A Doucet
arXiv preprint arXiv:1809.05042, 2018
Globally convergent type-I Anderson acceleration for non-smooth fixed-point iterations
J Zhang, B O'Donoghue, S Boyd
arXiv preprint arXiv:1808.03971, 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
A primal-dual operator splitting method for conic optimization
E Chu, B O’Donoghue, N Parikh, S Boyd
Stanford Internal Report, 2013
Iterated approximate value functions
B O'Donoghue, Y Wang, S Boyd
2013 European Control Conference (ECC), 3882-3888, 2013
A spread-return mean-reverting model for credit spread dynamics
B O'Donoghue, M Peacock, J Lee, L Capriotti
International Journal of Theoretical and Applied Finance 17 (03), 1450017, 2014
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–20