Research map / Probabilistic and scientific modeling / Molecules and proteins
A Robust Approach to Sequential Information Theoretic Planning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| robust M-estimator (Catoni) for MI instead of empirical plug-in estimate | greedy MI planning on Gaussian MRF · Gaussian MRF sequential planning | cumulative information gain relative to optimal | Helped |
| reduce resampling threshold tau (less frequent resampling) (ablation) | empirical estimator in sequential planning · Gaussian MRF sequential planning | cumulative information gain | Hurt |
| robust M-estimator MI with sequential IS (vs. Cho et al. importance-weighted empirical) | gene regulatory network experiment design · Gene regulatory network inference | MSE, AUPRC, AUROC of network inference | Helped |
| robust estimation vs. empirical on deviation bound violations | MI estimator in Gaussian MRF · Gaussian MRF sequential planning | frequency of deviation bound violation | Helped |
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