Various Performance Bounds on the Estimation of Low-Rank Probability Mass Function Tensors from Partial Observations.
Tomer HershkovitzMartin HaardtArie YeredorPublished in: ICASSP (2023)
Keyphrases
- low rank
- probability mass
- high order
- partial observations
- convex optimization
- missing data
- density function
- linear combination
- posterior probability
- matrix factorization
- singular value decomposition
- semi supervised
- probability distribution
- high dimensional data
- partially observable
- lower bound
- data analysis
- higher order
- k means