Calibration Drift Detection in Production ML Pipelines
Confidence scores drift silently, breaking downstream decisions.
Desmond Fong-Whitaker
Research Correspondent
Desmond Fong-Whitaker
Desmond tracks emerging directions at the frontier of reward modeling, scalable oversight, and multi-agent evaluation, synthesizing preprints and conference proceedings into timely commentary for a technically sophisticated readership. He holds a graduate background in statistics and spent three years as an analyst for a machine learning benchmarking consortium.
2 stories
Policy Gradient Variance Reduction Techniques for Sparse Reward Environments
Practical techniques that tame gradient noise when rewards are scarce and rollouts are few.
Desmond Fong-Whitaker