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pro vyhledávání: '"Brendan O'Donoghue"'
Autor:
Brendan O’Donoghue, Author
This investigation addresses a pressing anxiety of our time – that of homelessness. Tersely stated, the philosophical significance of homelessness in its more modern context can be understood to emerge with Nietzsche and his discourse on nihilism,
Autor:
Brendan O'Donoghue
Publikováno v:
SIAM Journal on Optimization. 31:1999-2023
The linear complementarity problem (LCP) is a general set membership problem that includes quadratic cone programming as a special case. In this work we consider a homogeneous embedding of the LCP, which encodes both the optimality conditions of the
Publikováno v:
SIAM Journal on Optimization. 30:3170-3197
We consider the application of the type-I Anderson acceleration to solving general nonsmooth fixed-point problems. By interleaving with safeguarding steps and employing a Powell-type regularization...
Autor:
Kareem Ayoub, Trevor Back, Rosalind Raine, Alan Karthikesalingam, Pearse A. Keane, Xavier Glorot, Hugh Montgomery, Julien Cornebise, Demis Hassabis, Daniel Visentin, Brendan O'Donoghue, Adnan Tufail, Catherine A Egan, Jeffrey De Fauw, Olaf Ronneberger, Peng T. Khaw, Harry Askham, Reena Chopra, Faith Mackinder, Joseph R. Ledsam, Dominic King, Nenad Tomasev, Julian Hughes, Simon Bouton, Clemens Meyer, George van den Driessche, Cian Hughes, Stanislav Nikolov, Mustafa Suleyman, Balaji Lakshminarayanan, Dawn A Sim, Bernardino Romera-Paredes, Sam Blackwell, Geraint Rees
Publikováno v:
Nature Medicine. 24:1342-1350
The volume and complexity of diagnostic imaging is increasing at a pace faster than the availability of human expertise to interpret it. Artificial intelligence has shown great promise in classifying two-dimensional photographs of some common disease
Publikováno v:
Journal of Optimization Theory and Applications. 169:1042-1068
We introduce a first order method for solving very large convex cone programs. The method uses an operator splitting method, the alternating directions method of multipliers, to solve the homogeneous self-dual embedding, an equivalent feasibility pro
Publikováno v:
International Journal of Robust and Nonlinear Control. 25:1472-1496
SUMMARY In this paper we introduce new methods for finding functions that lower bound the value function of a stochastic control problem, using an iterated form of the Bellman inequality. Our method is based on solving linear or semidefinite programs
Publikováno v:
SIAM Journal on Imaging Sciences. 7:1588-1623
Alternating direction methods are a common tool for general mathematical programming and optimization. These methods have become particularly important in the field of variational image processing, which frequently requires the minimization of nondif
Convex optimization is a powerful tool for resource allocation and signal processing in wireless networks. As the network density is expected to drastically increase in order to accommodate the exponentially growing mobile data traffic, performance o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::922eb2baca33220004433afbe13d52ba
http://arxiv.org/abs/1506.00749
http://arxiv.org/abs/1506.00749
Autor:
Brendan O'Donoghue
JOHN MORIARTY (1938-2007), Kerry-born poet, mystic and philosopher, has been hailed as one of the most original thinkers and writers to have emerged from Ireland in recent decades. Opening a way into John Moriarty's complex work through Guo Xi's pain
Publikováno v:
SSRN Electronic Journal.
In this paper we propose a novel, analytically tractable, one-factor stochastic model for the dynamics of credit default swap (CDS) spreads and their returns, which we refer to as the spread-return mean-reverting (SRMR) model. The SRMR model can be s