Matt Jones

21 papers A* 4B 9Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 B conf
How rotation invariant algorithms are fooled by noise on sparse targets.
ALT
Manfred K. Warmuth, Wojciech Kotlowski, Matt Jones, Ehsan Amid
2025 A* conf
More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing.
ICLR
Sagi Shaier, Francisco Pereira, Katharina von der Wense, Lawrence Hunter, Matt Jones
2024 A* conf
Bayesian Online Natural Gradient (BONG).
NeurIPS
Matt Jones, Peter G. Chang, Kevin P. Murphy
2024 J jnl
Bayesian Online Natural Gradient (BONG).
CoRR
Matt Jones, Peter G. Chang, Kevin Murphy
2024 J jnl
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing.
CoRR
Sagi Shaier, Francisco Pereira, Katharina von der Wense, Lawrence E. Hunter, Matt Jones
2024 J jnl
Noise misleads rotation invariant algorithms on sparse targets.
CoRR
Manfred K. Warmuth, Wojciech Kotlowski, Matt Jones, Ehsan Amid
2024 A* conf
Outlier-robust Kalman Filtering through Generalised Bayes.
ICML
Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Patrick Murphy
2024 J jnl
Outlier-robust Kalman Filtering through Generalised Bayes.
CoRR
Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Murphy
2023 — conf
Low-rank extended Kalman filtering for online learning of neural networks from streaming data.
CoLLAs
Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Patrick Murphy
2023 J jnl
Low-rank extended Kalman filtering for online learning of neural networks from streaming data.
CoRR
Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Murphy
2020 J jnl
Robust priors for regularized regression.
CoRR
Sebastian Bobadilla-Suarez, Matt Jones, Bradley C. Love
2017 B conf
Learning Relational Concepts through Unitary versus Compositional Representations.
CogSci
Daniel Corral, Matt Jones
2017 J jnl
Reinforcement Learning with Analogical Similarity to Guide Schema Induction and Attention.
CoRR
James M. Foster, Matt Jones
2015 B conf
Generative and Discriminative Models in Cognitive Science.
CogSci
Bradley C. Love, Michael Ramscar, Thomas L. Griffiths, Matt Jones
2014 B conf
Heuristics as a special case of Bayesian Inference.
CogSci
Paula Parpart, Matt Jones, Bradley C. Love
2013 B conf
Analogical Reinforcement Learning.
CogSci
James M. Foster, Matt Jones
2013 B conf
When is it rational to rely on heuristics?
CogSci
Paula Parpart, Matt Jones, Bradley C. Love
2012 B conf
Learning Conceptual Hierarchies by Iterated Relational Consolidation.
CogSci
James M. Foster, Fabian Canas, Matt Jones
2012 B conf
Learning of Relational Categories as a Function of Higher-Order Structure.
CogSci
Daniel Corral, Matt Jones
2011 B conf
Grow your own representations: Computational constructivism.
CogSci
Joseph L. Austerweil, Thomas L. Griffiths, Todd M. Gureckis, Robert L. Goldstone, Kevin Robert Canini, Matt Jones
2009 A* conf
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool.
CHI
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Michael Howe