A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts.
Rishabh SinghJosé C. PríncipePublished in: CoRR (2021)
Keyphrases
- data sets
- computational model
- test data
- experimental data
- probabilistic model
- theoretical framework
- conceptual framework
- mathematical model
- input data
- probability distribution
- formal model
- prior knowledge
- data collection
- simulation data
- training data
- database
- data analysis
- network structure
- raw data
- data sources
- data points
- data mining techniques
- bayesian framework
- missing information
- predictive model
- empirical data
- image data
- conceptual model
- high level
- data processing
- process model
- statistical methods
- co occurrence
- prior information
- high dimensional data
- data quality
- data mining
- historical data
- gaussian processes
- measured data
- support vector