Artikelen met mandaten voor openbare toegang - Mark HerbsterMeer informatie
Nergens beschikbaar: 1
Image classification with quantum pre-training and auto-encoders
S Piat, N Usher, S Severini, M Herbster, T Mansi, P Mountney
International Journal of Quantum Information 16 (08), 1840009, 2018
Mandaten: UK Research & Innovation
Ergens beschikbaar: 15
Quantum machine learning: a classical perspective
C Ciliberto, M Herbster, AD Ialongo, M Pontil, A Rocchetto, S Severini, ...
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018
Mandaten: National Natural Science Foundation of China, UK Engineering and Physical …
Service placement with provable guarantees in heterogeneous edge computing systems
S Pasteris, S Wang, M Herbster, T He
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 514-522, 2019
Mandaten: US Department of Defense
Epigenetic differences in monozygotic twins discordant for major depressive disorder
K Malki, E Koritskaya, F Harris, K Bryson, M Herbster, MG Tosto
Translational psychiatry 6 (6), e839-e839, 2016
Mandaten: UK Medical Research Council
Mistake bounds for binary matrix completion
M Herbster, S Pasteris, M Pontil
Advances in Neural Information Processing Systems 29, 2016
Mandaten: UK Engineering and Physical Sciences Research Council
Online matrix completion with side information
M Herbster, S Pasteris, L Tse
Advances in Neural Information Processing Systems 33, 20402-20414, 2020
Mandaten: US Department of Defense, UK Engineering and Physical Sciences Research Council
Highly polygenic architecture of antidepressant treatment response: comparative analysis of SSRI and NRI treatment in an animal model of depression
K Malki, MG Tosto, H Mouriño‐Talín, S Rodríguez‐Lorenzo, O Pain, ...
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 174 …, 2017
Mandaten: Canadian Institutes of Health Research, Natural Sciences and Engineering …
Predicting a switching sequence of graph labelings.
M Herbster, S Pasteris, M Pontil
J. Mach. Learn. Res. 16, 2003-2022, 2015
Mandaten: UK Engineering and Physical Sciences Research Council
A gang of adversarial bandits
M Herbster, S Pasteris, F Vitale, M Pontil
Advances in Neural Information Processing Systems 34, 2265-2279, 2021
Mandaten: US Department of Defense, UK Engineering and Physical Sciences Research Council
Data distribution and scheduling for distributed analytics tasks
S Pasteris, S Wang, C Makaya, K Chan, M Herbster
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017
Mandaten: US Department of Defense
Online multitask learning with long-term memory
M Herbster, S Pasteris, L Tse
Advances in Neural Information Processing Systems 33, 17779-17791, 2020
Mandaten: US Department of Defense, UK Engineering and Physical Sciences Research Council
Online learning of facility locations
S Pasteris, T He, F Vitale, S Wang, M Herbster
Algorithmic Learning Theory, 1002-1050, 2021
Mandaten: US Department of Defense
Maxhedge: Maximizing a maximum online
S Pasteris, F Vitale, K Chan, S Wang, M Herbster
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Mandaten: US Department of Defense, European Commission
Improved regret bounds for tracking experts with memory
J Robinson, M Herbster
Advances in Neural Information Processing Systems 34, 7625-7636, 2021
Mandaten: UK Engineering and Physical Sciences Research Council
On similarity prediction and pairwise clustering
S Pasteris, F Vitale, C Gentile, M Herbster
Algorithmic Learning Theory, 654-681, 2018
Mandaten: US Department of Defense, European Commission
Hierarchical Learning Algorithms for Multi-scale Expert Problems
L Yang, YJ Chen, MH Hajiesmaili, M Herbster, D Towsley
Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (2 …, 2022
Mandaten: US National Science Foundation, US Department of Defense
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