Condition number bounds for causal inference.
Spencer L. GordonVinayak M. KumarLeonard J. SchulmanPiyush SrivastavaPublished in: UAI (2021)
Keyphrases
- causal inference
- condition number
- interior point methods
- linear algebra
- additive noise
- regression model
- upper bound
- correlation matrix
- causal models
- abductive reasoning
- lower bound
- power spectrum
- rare events
- nonmonotonic reasoning
- discrete data
- worst case
- convex optimization
- covariance matrix
- object recognition
- singular value decomposition
- image processing
- primal dual
- experimental data
- markov chain
- edge detection