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Publication search results
found 47 matches
- 2023
- B. Loughran, Matt J. V. Streeter, H. Ahmed, S. Astbury, M. Balcazar, M. Borghesi, N. Bourgeois, C. B. Curry, S. J. D. Dann, S. DiIorio, N. P. Dover, T. Dzelzanis, O. C. Ettlinger, M. Gauthier, L. Giuffrida, G. D. Glenn, S. H. Glenzer, J. S. Green, Ross J. Gray, G. S. Hicks, C. Hyland, V. Istokskaia, M. King, D. Margarone, O. McCusker, P. McKenna, Z. Najmudin, C. Parisuaña, P. Parsons, C. Spindloe, D. R. Symes, A. G. R. Thomas, F. Treffert, N. Xu, Charlotte A. J. Palmer:
Automated control and optimisation of laser driven ion acceleration. CoRR abs/2303.00823 (2023) - Scott Feister, Kevin Cassou, Stephen Dann, Andreas Döpp, Philippe Gauron, Anthony J. Gonsalves, Archis Joglekar, Victoria Marshall, Olivier Neveu, Hans-Peter Schlenvoigt, Matthew J. V. Streeter, Charlotte A. J. Palmer:
Control Systems and Data Management for High-Power Laser Facilities. CoRR abs/2306.01661 (2023) - Matthew Streeter, Joshua V. Dillon:
Sharp Taylor Polynomial Enclosures in One Dimension. CoRR abs/2308.00679 (2023) - 2022
- Andreas Döpp, Christoph Eberle, Sunny Howard, Faran Irshad, Jinpu Lin, Matthew J. W. Streeter:
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics. CoRR abs/2212.00026 (2022) - Matthew Streeter, Joshua V. Dillon:
Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications. CoRR abs/2212.11429 (2022) - 2021
- Peter W. Hatfield, Jim A. Gaffney, Gemma J. Anderson, Suzanne Ali, Luca Antonelli, Suzan Basegmez du Pree, Jonathan Citrin, Marta Fajardo, Patrick F. Knapp, Brendan Kettle, Bogdan Kustowski, Michael J. MacDonald, Derek Mariscal, Madison E. Martin, Taisuke Nagayama, Charlotte A. J. Palmer, J. Luc Peterson, Steven J. Rose, J. J. Ruby, Carl Shneider, Matt J. V. Streeter, Will Trickey, Ben Williams:
The data-driven future of high-energy-density physics. Nat. 593(7859): 351-361 (2021) - 2018
- Matthew Seabright, Lee V. Streeter, Michael J. Cree, Mike Duke, Rachael Tighe:
Simple Stereo Matching Algorithm for Localising Keypoints in a Restricted Search Space. IVCNZ 2018: 1-6 - Jeffrey A. Thompson, Jinxiang Hu, Dinesh Pal Mudaranthakam, David Streeter, Lisa Neums, Michele Park, Devin C. Koestler, Byron Gajewski, Matthew S. Mayo:
Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Healthcare Records. CoRR abs/1812.02627 (2018) - 2015
- Luis von Ahn, Matthew J. Streeter:
Behind the Scenes of Duolingo. EDM 2015: 3 - Matthew J. Streeter:
Mixture Modeling of Individual Learning Curves. EDM 2015: 45-52 - 2014
- H. Brendan McMahan, Matthew J. Streeter:
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning. NIPS 2014: 2915-2923 - Daniel Golovin, Andreas Krause, Matthew J. Streeter:
Online Submodular Maximization under a Matroid Constraint with Application to Learning Assignments. CoRR abs/1407.1082 (2014) - 2012
- Matthew J. Streeter, H. Brendan McMahan:
No-Regret Algorithms for Unconstrained Online Convex Optimization. NIPS 2012: 2411-2419 - H. Brendan McMahan, Matthew J. Streeter:
Open Problem: Better Bounds for Online Logistic Regression. COLT 2012: 44.1-44.3 - Matthew J. Streeter, Stephen F. Smith:
New Techniques for Algorithm Portfolio Design. CoRR abs/1206.3286 (2012) - Matthew J. Streeter, H. Brendan McMahan:
No-Regret Algorithms for Unconstrained Online Convex Optimization. CoRR abs/1211.2260 (2012) - 2011
- Stephen F. Smith, Matthew J. Streeter:
How the Landscape of Random Job Shop Scheduling Instances Depends on the Ratio of Jobs to Machines. CoRR abs/1110.0024 (2011) - 2010
- H. Brendan McMahan, Matthew J. Streeter:
Adaptive Bound Optimization for Online Convex Optimization. COLT 2010: 244-256 - Matthew J. Streeter, H. Brendan McMahan:
Less Regret via Online Conditioning. CoRR abs/1002.4862 (2010) - H. Brendan McMahan, Matthew J. Streeter:
Adaptive Bound Optimization for Online Convex Optimization. CoRR abs/1002.4908 (2010) - 2009
- H. Brendan McMahan, Matthew J. Streeter:
Tighter Bounds for Multi-Armed Bandits with Expert Advice. COLT 2009 - Matthew J. Streeter, Daniel Golovin, Andreas Krause:
Online Learning of Assignments. NIPS 2009: 1794-1802 - Daniel Golovin, Andreas Krause, Matthew J. Streeter:
Online Learning of Assignments that Maximize Submodular Functions. CoRR abs/0908.0772 (2009) - 2008
- John R. Koza, Matthew J. Streeter, Martin A. Keane:
Routine high-return human-competitive automated problem-solving by means of genetic programming. Inf. Sci. 178(23): 4434-4452 (2008) - Matthew J. Streeter, Daniel Golovin:
An Online Algorithm for Maximizing Submodular Functions. NIPS 2008: 1577-1584 - Matthew J. Streeter, Stephen F. Smith:
New Techniques for Algorithm Portfolio Design. UAI 2008: 519-527 - 2007
- Matthew J. Streeter, Daniel Golovin, Stephen F. Smith:
Combining Multiple Heuristics Online. AAAI 2007: 1197-1203 - Matthew J. Streeter, Daniel Golovin, Stephen F. Smith:
Restart Schedules for Ensembles of Problem Instances. AAAI 2007: 1204-1210 - Matthew J. Streeter, Stephen F. Smith:
Using Decision Procedures Efficiently for Optimization. ICAPS 2007: 312-319 - 2006
- Matthew J. Streeter, Stephen F. Smith:
How the Landscape of Random Job Shop Scheduling Instances Depends on the Ratio of Jobs to Machines. J. Artif. Intell. Res. 26: 247-287 (2006)
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