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privacy-sandbox
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Privacy-preserving contextual bandit that optimizes for causal uplift while learning only from differentially-private aggregates — a runnable simulation of causal marketing under the Google Privacy Sandbox, with a real Shared Storage / Private Aggregation browser demo.
python reinforcement-learning simulation numpy thompson-sampling bayesian-inference causal-inference multi-armed-bandit differential-privacy contextual-bandits uplift-modeling marketing-analytics growth-engineering federated-learning shared-storage martech incrementality privacy-sandbox private-aggregation
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Updated
Aug 8, 2026 - Python
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