Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations.
Tsai Hor ChanKin Wai LauJiajun ShenGuosheng YinLequan YuPublished in: NeurIPS (2023)
Keyphrases
- high dimensional
- similarity search
- decision directed
- parameter space
- multi dimensional
- nearest neighbor
- low dimensional
- measurement error
- high dimensionality
- microarray data
- data sets
- estimation algorithm
- neural network
- inherent uncertainty
- high dimensional problems
- estimation problems
- intrinsic dimensionality
- estimation accuracy
- sparse data
- symbolic representation
- belief functions
- estimation error
- sparse coding
- test data
- data points
- higher level
- markov random field