parameter estimation
The process of determining the values of parameters in a statistical model or machine learning algorithm that best fit the collected data, thus influencing the model's predictions and behavior.
- A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits
- Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions
- Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
- Instant4D: 4D Gaussian Splatting in Minutes
- Prediction-Powered Semi-Supervised Learning with Online Power Tuning
- Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design
- Scaling Laws for Optimal Data Mixtures