Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models.
Qiong WuJian LiZhenming LiuYanhua LiMihai CucuringuPublished in: AAAI (2023)
Keyphrases
- machine learning models
- latent space
- high dimensional
- gaussian process latent variable models
- low dimensional
- lower dimensional
- dimensionality reduction
- parameter space
- spam filtering
- machine learning algorithms
- machine learning approaches
- manifold learning
- latent variables
- feature space
- high dimensional data
- gaussian process
- matrix factorization
- machine learning
- high dimensional spaces
- predictive model
- similarity search
- high dimensionality
- data points
- gaussian processes
- generative model
- transfer learning
- information retrieval
- principal component analysis
- hidden markov models
- probabilistic latent semantic analysis
- euclidean distance
- data sets
- probabilistic model
- face recognition
- data mining
- neural network