Ieva Kazlauskaite
Ieva Kazlauskaite
University of Cambridge
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
Gaussian Process Latent Variable Alignment Learning
I Kazlauskaite, CH Ek, NDF Campbell
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019
132019
Monotonic Gaussian Process Flow
I Ustyuzhaninov, I Kazlauskaite, CH Ek, NDF Campbell
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
72020
Compositional uncertainty in deep Gaussian processes
I Ustyuzhaninov, I Kazlauskaite, M Kaiser, E Bodin, N Campbell, CH Ek
Conference on Uncertainty in Artificial Intelligence, 480-489, 2020
62020
Bayesian nonparametric shared multi-sequence time series segmentation
O Mikheeva, I Kazlauskaite, H Kjellström, CH Ek
arXiv preprint arXiv:2001.09886, 2020
2020
Compositional uncertainty in models of alignment
I Kazlauskaite
University of Bath, 2020
2020
Modulating Surrogates for Bayesian Optimization
E Bodin, M Kaiser, I Kazlauskaite, Z Dai, NDF Campbell, CH Ek
International Conference on Machine Learning (ICML 2020), arXiv: 1906.11152, 2019
2019
Modulated Bayesian Optimization using Latent Gaussian Process Models
E Bodin, M Kaiser, I Kazlauskaite, NDF Campbell, CH Ek
https://arxiv.org/abs/1906.11152, 2019
2019
Sequence Alignment with Dirichlet Process Mixtures
I Kazlauskaite, I Ustyuzhaninov, CH Ek, NDF Campbell
NeurIPS, Workshop on Bayesian Nonparametrics (BNP@NeurIPS), 2018, 2018
2018
Learning Alignments from Latent Space Structures
I Kazlauskaite, CH Ek, N Campbell
NIPS Workshop on Learning in High Dimensions with Structure, 2016
2016
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Articles 1–9