Kristjan H. Greenewald

According to our database1, Kristjan H. Greenewald authored at least 25 papers between 2013 and 2019.

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Bibliography

2019
Statistical Model Aggregation via Parameter Matching.
CoRR, 2019

Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity.
CoRR, 2019

BreGMN: scaled-Bregman Generative Modeling Networks.
CoRR, 2019

Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation.
CoRR, 2019

Bayesian Nonparametric Federated Learning of Neural Networks.
CoRR, 2019

Optimality of the Plug-in Estimator for Differential Entropy Estimation under Gaussian Convolutions.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Bayesian Nonparametric Federated Learning of Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Estimating Information Flow in Deep Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Ensemble Estimation of Information Divergence .
Entropy, 2018

Estimating Information Flow in Neural Networks.
CoRR, 2018

2017
Similarity Function Tracking Using Pairwise Comparisons.
IEEE Trans. Signal Processing, 2017

Similarity Function Tracking using Pairwise Comparisons.
CoRR, 2017

Action Centered Contextual Bandits.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Time-dependent spatially varying graphical models, with application to brain fMRI data analysis.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Robust SAR STAP via Kronecker decomposition.
IEEE Trans. Aerospace and Electronic Systems, 2016

Improving Convergence of Divergence Functional Ensemble Estimators.
CoRR, 2016

Robust SAR STAP via Kronecker Decomposition.
CoRR, 2016

Dynamic Metric Learning from Pairwise Comparisons.
CoRR, 2016

Distance Metric Tracking.
CoRR, 2016

Improving convergence of divergence functional ensemble estimators.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Dynamic metric learning from pairwise comparisons.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Robust Kronecker Product PCA for Spatio-Temporal Covariance Estimation.
IEEE Trans. Signal Processing, 2015

2014
Kronecker PCA Based Spatio-Temporal Modeling of Video for Dismount Classification.
CoRR, 2014

Regularized block Toeplitz covariance matrix estimation via Kronecker product expansions.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

2013
Kronecker sum decompositions of space-time data.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013


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