Zoubin Ghahramani
(7 articles)
Bayesian Optimization
Strategy for optimizing complex, expensive-to-evaluate functions by building a probabilistic model of the function and using it to select the most promising points to evaluate.
Generality: 770
GMM
Gaussian Mixture Models
Gaussian Mixture Models
Probabilistic models that assume all data points are generated from a mixture of a finite number of Gaussian distributions with unknown parameters.
Generality: 675
Active Learning
A strategy in ML where the model selectively queries the most informative data points from an unlabeled dataset to maximize its learning efficiency.
Generality: 775
Bayesian Neural Network
A neural network that incorporates Bayesian inference to model uncertainty in its predictions and parameters.
Generality: 500
Semi-Supervised Learning
ML approach that uses a combination of a small amount of labeled data and a large amount of unlabeled data for training models.
Generality: 800
Black Box Problem
The difficulty in understanding and interpreting how an AI system, particularly ML models, makes decisions.
Generality: 850
Out of Distribution
Data that differs significantly from the training data used to train a machine learning model, leading to unreliable or inaccurate predictions.
Generality: 675