Essential qualities of ML tech leads
ML
leadership
Ranking metrics: pitfalls and best practices
ML
Learning-to-rank
Learning-to-rank for hardware bug discovery
ML
verification
Learning-to-rank
Model tuning with Weights & Biases, Ray Tune, and LightGBM
ML
ML Ops
visualization
Thompson sampling in practice: modifications and limitations
ML
verification
Bayesian
Building effective ML teams: lessons from industry
ML
collaboration
Building datasets for model benchmarking in production
ML
ML Ops
data
Modeling tabular data using conditional GAN
paper
GenAI
ML
Dissecting racial bias in an algorithm used to manage the health of populations
paper
ML
ethics
fairness
Algorithmic decision-making and fairness (Stanford Tech Ethics course, Week 1)
ethics
fairness
criminal justice
Constitutional AI: harmlessness from AI feedback
paper
GenAI
LLM
ML
Visualization in Bayesian workflow
paper
Bayesian
visualization
ML
Police shooting in Texas 2016-2019
criminal justice
visualization
volunteering
Tutorials at FAccT 2021
conference
fairness
responsible AI
ML
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