JADAI jointly trains a design policy, a history encoder, and a diffusion-based posterior estimator end-to-end, using per-step posterior-loss reductions as a proxy for information gain, and reaches state-of-the-art performance on adaptive design benchmarks.
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JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
JADAI jointly trains a design policy, a history encoder, and a diffusion-based posterior estimator end-to-end, using per-step posterior-loss reductions as a proxy for information gain, and reaches state-of-the-art performance on adaptive design benchmarks.