-
Bayesian nonparametric shared multi-sequence time series segmentation
In this paper, we introduce a method for segmenting time series data usi...
read it
-
Compositional uncertainty in deep Gaussian processes
Gaussian processes (GPs) are nonparametric priors over functions, and fi...
read it
-
Modulated Bayesian Optimization using Latent Gaussian Process Models
We present an approach to Bayesian Optimization that allows for robust s...
read it
-
Monotonic Gaussian Process Flow
We propose a new framework of imposing monotonicity constraints in a Bay...
read it
-
Sequence Alignment with Dirichlet Process Mixtures
We present a probabilistic model for unsupervised alignment of high-dime...
read it
-
Gaussian Process Latent Variable Alignment Learning
We present a model that can automatically learn alignments between high-...
read it

Ieva Kazlauskaite
is this you? claim profile