mean squared error
A common loss function used in regression tasks, calculated as the average of the squared differences between predicted and actual values, useful for assessing performance.
- A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
- DBLoss: Decomposition-based Loss Function for Time Series Forecasting
- Efficiently Verifiable Proofs of Data Attribution
- Emergence and scaling laws in SGD learning of shallow neural networks
- GVPO: Group Variance Policy Optimization for Large Language Model Post-Training
- Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
- PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
- Pessimistic Data Integration for Policy Evaluation
- STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation
- The Persistence of Neural Collapse Despite Low-Rank Bias