Regularization Explorer

Model Robustness

Regularization Explorer

Controlling model complexity with constraints and penalties.

What This Shows

Visualize how regularization changes the feasible solutions and the models that emerge from data. The demo highlights the engineering role of regularization: not just improving metrics, but making models more stable, interpretable, and reliable under limited or noisy evidence.

Regularization L1/L2 penalties Model stability Feature selection Regression

Technical Challenge

Preventing models from becoming too sensitive to noise or weak signals.

My Contribution

Created an interactive view of how penalty geometry shapes learned parameters.

Industry Transfer

Risk estimation, price prediction, forecasting, sparse modeling, production regression.

Connected Work

DEEPz uncertainty-aware regression and ML model calibration.