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ORCIDMatt Jones 0002
Person information
- affiliation: University of Colorado, Boulder, CO, USA
Other persons with the same name
- Matt Jones 0001
![[0000-0001-7657-7373]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7657-7373")
— Swansea University, UK - Matt Jones 0003 — University College London, UCL Cancer Institute, UK
- Matt Jones 0004 — Stanford University, Department of Art & History, Stanford, CA, USA
- Matt Jones 0005 — University of California Berkeley, Department of Integrative Biology, Berkeley, CA, USA
- Matt Jones 0006 — University of Warwick, Coventry, UK
- Matt Jones 0007 — Bangor University, UK
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2020 – today
- 2024
[c11]Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Patrick Murphy:
Outlier-robust Kalman Filtering through Generalised Bayes. ICML 2024- [i6]Manfred K. Warmuth, Wojciech Kotlowski, Matt Jones, Ehsan Amid:
Noise misleads rotation invariant algorithms on sparse targets. CoRR abs/2403.02697 (2024) - [i5]Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Murphy:
Outlier-robust Kalman Filtering through Generalised Bayes. CoRR abs/2405.05646 (2024) - [i4]Matt Jones, Peter G. Chang, Kevin Murphy:
Bayesian Online Natural Gradient (BONG). CoRR abs/2405.19681 (2024) - 2023
- [c10]Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Patrick Murphy:
Low-rank extended Kalman filtering for online learning of neural networks from streaming data. CoLLAs 2023: 1025-1071 - [i3]Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Murphy:
Low-rank extended Kalman filtering for online learning of neural networks from streaming data. CoRR abs/2305.19535 (2023) - 2020
- [i2]Sebastian Bobadilla-Suarez, Matt Jones, Bradley C. Love:
Robust priors for regularized regression. CoRR abs/2010.02610 (2020)
2010 – 2019
- 2017
- [c9]Daniel Corral, Matt Jones:
Learning Relational Concepts through Unitary versus Compositional Representations. CogSci 2017 - [i1]James M. Foster, Matt Jones:
Reinforcement Learning with Analogical Similarity to Guide Schema Induction and Attention. CoRR abs/1712.10070 (2017) - 2015
- [c8]Bradley C. Love, Michael Ramscar, Thomas L. Griffiths, Matt Jones:
Generative and Discriminative Models in Cognitive Science. CogSci 2015 - 2014
- [c7]Paula Parpart, Matt Jones, Bradley C. Love:
Heuristics as a special case of Bayesian Inference. CogSci 2014 - 2013
- [c6]James M. Foster, Matt Jones:
Analogical Reinforcement Learning. CogSci 2013 - [c5]Paula Parpart, Matt Jones, Bradley C. Love:
When is it rational to rely on heuristics? CogSci 2013 - 2012
- [c4]Daniel Corral, Matt Jones:
Learning of Relational Categories as a Function of Higher-Order Structure. CogSci 2012 - [c3]James M. Foster, Fabian Canas, Matt Jones:
Learning Conceptual Hierarchies by Iterated Relational Consolidation. CogSci 2012 - 2011
- [c2]Joseph L. Austerweil, Thomas L. Griffiths, Todd M. Gureckis, Robert L. Goldstone, Kevin Robert Canini, Matt Jones:
Grow your own representations: Computational constructivism. CogSci 2011
2000 – 2009
- 2009
- [c1]Bradley C. Love, Matt Jones, Marc T. Tomlinson, Michael Howe:
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool. CHI 2009: 1351-1360
Coauthor Index
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