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Multivariate Probabilistic Regression with Natural Gradient Boosting


Jun 07, 2021
Michael O'Malley, Adam M. Sykulski, Rick Lumpkin, Alejandro Schuler


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Efficient Parameter Estimation of Sampled Random Fields


Jul 15, 2019
Arthur P. Guillaumin, Adam M. Sykulski, Sofia C. Olhede, Frederik J. Simons


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Smoothing and Interpolating Noisy GPS Data with Smoothing Splines


Apr 26, 2019
Jeffrey J. Early, Adam M. Sykulski

* 14 pages, 8 figures 

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The De-Biased Whittle Likelihood


Sep 12, 2018
Adam M. Sykulski, Sofia C. Olhede, Arthur P. Guillaumin, Jonathan M. Lilly, Jeffrey J. Early

* To appear shortly in Biometrika. Full published version includes extensions of theory to non-Gaussian processes, and new simulation examples with an AR(4) and non-Gaussian process 

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Exact Simulation of Noncircular or Improper Complex-Valued Stationary Gaussian Processes using Circulant Embedding


Mar 15, 2017
Adam M. Sykulski, Donald B. Percival

* 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) 
* Link to published version: http://ieeexplore.ieee.org/document/7738840/ 

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Frequency-Domain Stochastic Modeling of Stationary Bivariate or Complex-Valued Signals


Mar 15, 2017
Adam M. Sykulski, Sofia C. Olhede, Jonathan M. Lilly, Jeffrey J. Early

* IEEE Transactions on Signal Processing, 2017 
* To appear in IEEE Transactions on Signal Processing 

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Automated Planning in Repeated Adversarial Games


Mar 15, 2012
Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski, Nicholas R. Jennings

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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