maximum likelihood estimation
A statistical method for estimating the parameters of a model by maximizing the likelihood function, effectively fitting the model to observed data.
- Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
- Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
- On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning
- Optimize the Unseen - Fast NeRF Cleanup with Free Space Prior
- Private Statistical Estimation via Truncation
- Provably Efficient Online RLHF with One-Pass Reward Modeling
- RLVR-World: Training World Models with Reinforcement Learning
- When Models Don’t Collapse: On the Consistency of Iterative MLE