likelihood estimation
Likelihood estimation involves determining the probability of observed data given specific model parameters, an essential technique used in statistical modeling and inference to guide model training and validation.
- Blackbox Model Provenance via Palimpsestic Membership Inference
- Information Theoretic Learning for Diffusion Models with Warm Start
- ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
- Learning to Rank for In-Context Example Retrieval
- Online Feedback Efficient Active Target Discovery in Partially Observable Environments
- Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality