closed-form solution
A closed-form solution in AI refers to a solution that can be expressed analytically in a finite number of standard operations, in contrast to iterative or numerical solutions that require approximation.
- A Closed-Form Solution for Fast and Reliable Adaptive Testing
- Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
- Direct Fisher Score Estimation for Likelihood Maximization
- Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety
- KAIROS: Scalable Model-Agnostic Data Valuation
- Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
- RLZero: Direct Policy Inference from Language Without In-Domain Supervision
- Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data