learning algorithm
A specific method or set of rules that an AI model follows to update its parameters based on incoming data, facilitating the learning process from experience or training data.
- Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
- Characterization and Learning of Causal Graphs from Hard Interventions
- Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code
- Markov Persuasion Processes: Learning to Persuade From Scratch
- On Traceability in $\ell_p$ Stochastic Convex Optimization
- Online Strategic Classification With Noise and Partial Feedback
- Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization