Personalizing Many Decisions with High-Dimensional Covariates.
Nima HamidiMohsen BayatiKapil GuptaPublished in: NeurIPS (2019)
Keyphrases
- high dimensional
- decision makers
- similarity search
- decision making
- low dimensional
- regression model
- dimensionality reduction
- feature space
- high dimensional data
- high dimensionality
- logistic regression
- sample size
- design decisions
- sparse coding
- parameter space
- noisy data
- machine learning
- data mining
- sparse data
- multi modal
- user interests
- high dimensional problems
- user profiles
- database
- web search
- nearest neighbor
- data points
- pattern recognition
- databases
- data sets