Low-rank finetuning for LLMs: A fairness perspective.
Saswat DasMarco RomanelliCuong TranZarreen RezaBhavya KailkhuraFerdinando FiorettoPublished in: CoRR (2024)
Keyphrases
- low rank
- missing data
- matrix factorization
- linear combination
- convex optimization
- rank minimization
- matrix completion
- low rank matrix
- singular value decomposition
- high dimensional data
- semi supervised
- kernel matrix
- minimization problems
- matrix decomposition
- trace norm
- data matrix
- singular values
- high order
- non rigid structure from motion
- low rank representation
- low rank approximation
- low rank matrices
- neural network
- robust principal component analysis
- affinity matrix
- low dimensional
- small number
- recommender systems
- data mining