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Michael Riis Andersen
Michael Riis Andersen
Associate professor, Technical University of Denmark
Verified email at dtu.dk
Title
Cited by
Cited by
Year
Kinect depth sensor evaluation for computer vision applications
MR Andersen, T Jensen, P Lisouski, AK Mortensen, MK Hansen, ...
Aarhus University, 1-37, 2012
2972012
Bayesian inference for structured spike and slab priors
MR Andersen, O Winther, LK Hansen
Advances in Neural Information Processing Systems 27, 2014
602014
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution
T Paananen, J Piironen, MR Andersen, A Vehtari
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
352019
Bayesian inference for spatio-temporal spike-and-slab priors
MR Andersen, A Vehtari, O Winther, LK Hansen
The Journal of Machine Learning Research 18 (1), 5076-5133, 2017
312017
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming
G Riutort-Mayol, PC Bürkner, MR Andersen, A Solin, A Vehtari
arXiv preprint arXiv:2004.11408, 2020
302020
Leave-one-out cross-validation for Bayesian model comparison in large data
M Magnusson, A Vehtari, J Jonasson, M Andersen
International Conference on Artificial Intelligence and Statistics, 341-351, 2020
262020
Bayesian leave-one-out cross-validation for large data
M Magnusson, M Andersen, J Jonasson, A Vehtari
International Conference on Machine Learning, 4244-4253, 2019
222019
Robust, accurate stochastic optimization for variational inference
AK Dhaka, A Catalina, MR Andersen, M Magnusson, J Huggins, A Vehtari
Advances in Neural Information Processing Systems 33, 10961-10973, 2020
212020
Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations
E Siivola, A Vehtari, J Vanhatalo, J González, MR Andersen
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
142018
State space expectation propagation: Efficient inference schemes for temporal Gaussian processes
W Wilkinson, P Chang, M Andersen, A Solin
International Conference on Machine Learning, 10270-10281, 2020
122020
Bayesian structure learning for dynamic brain connectivity
M Andersen, O Winther, LK Hansen, R Poldrack, O Koyejo
International Conference on Artificial Intelligence and Statistics, 1436-1446, 2018
122018
Challenges and Opportunities in High Dimensional Variational Inference
AK Dhaka, A Catalina, M Welandawe, MR Andersen, J Huggins, A Vehtari
Advances in Neural Information Processing Systems 34, 7787-7798, 2021
112021
Unifying probabilistic models for time-frequency analysis
WJ Wilkinson, MR Andersen, JD Reiss, D Stowell, A Solin
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
102019
Efficient recovery of structured sparse signals via approximate message passing with structured spike and slab prior
X Meng, S Wu, MR Andersen, J Zhu, Z Ni
China Communications 15 (6), 1-17, 2018
102018
Bayesian optimization of unimodal functions
MR Andersen, E Siivola, A Vehtari
NIPS workshop on Bayesian optimization, 2017
92017
End-to-end probabilistic inference for nonstationary audio analysis
W Wilkinson, M Andersen, JD Reiss, D Stowell, A Solin
International Conference on Machine Learning, 6776-6785, 2019
82019
Sparse inference using approximate message passing
MR Andersen
Technical University of Denmark, Department of Applied Mathematics and Computing, 2014
72014
EEG source imaging assists decoding in a face recognition task
RS Andersen, AU Eliasen, N Pedersen, MR Andersen, ST Hansen, ...
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
62017
Preferential Batch Bayesian Optimization
E Siivola, AK Dhaka, MR Andersen, J González, PG Moreno, A Vehtari
2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021
52021
A non-parametric probabilistic model for monotonic functions.“
MR Andersen, E Siivola, G Riutort-Mayol, A Vehtari
All Of Bayesian Nonparametrics” Workshop at NeurIPS, 2018
52018
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Articles 1–20