Matthew F. Dixon

11 papers Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
Deep Partial Least Squares for Empirical Asset Pricing.
CoRR
Matthew F. Dixon, Nicholas G. Polson, Kemen Goicoechea
2022 J jnl
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks.
Technometrics
Matthew F. Dixon
2021 J jnl
Short Communication: Beyond Surrogate Modeling: Learning the Local Volatility via Shape Constraints.
SIAM J. Financial Math.
Marc Chataigner, Areski Cousin, Stéphane Crépey, Matthew F. Dixon, Djibril Gueye
2020 J jnl
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks.
CoRR
Matthew F. Dixon
2020 J jnl
Short Communication: Deep Fundamental Factor Models.
SIAM J. Financial Math.
Matthew F. Dixon, Nick Polson
2019 J jnl
Deep Fundamental Factor Models.
CoRR
Matthew F. Dixon, Nicholas G. Polson
2012 J jnl
Accelerating Value-at-Risk estimation on highly parallel architectures.
Concurr. Comput. Pract. Exp.
Matthew F. Dixon, Jike Chong, Kurt Keutzer
2004 — conf
A Runtime Adaptive Load Balancing Algorithm for Particle Simulations.
PARA
Matthew F. Dixon
2004 J jnl
Using Distributed Computers to Deterministically Approximate Higher Dimensional Convection Diffusion Equations.
J. Supercomput.
Matthew F. Dixon, Chih Jeng Kenneth Tan
2003 — conf
A Performance Comparison of Matrix Solvers on Compaq Alpha, Intel Itanium, and Intel Itanium II Processors.
ICCSA (1)
Chih Jeng Kenneth Tan, David Hagan, Matthew F. Dixon
2003 — conf
Distributed Solution of High-Order Compact Difference Schemes for Multidimensional Convection-Diffusion Equations.
ICCSA (3)
Matthew F. Dixon, Chih Jeng Kenneth Tan