Author

A. Kurennoy

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Preprint Sep 2026

EARL: Exposure- and Allocation-Reweighted Linear Estimator for Bipartite Experiments with Partial Assignment

Bipartite A/B tests are experiments in which treatment is randomised over one set of units, while outcomes are measured on another. For example, an online marketplace may test a new pricing algorithm on a random subset of items, while the outcome of interest, say, purchase satisfaction, is measured on customers, each o...

A. Kurennoy · 0 citations

#machine learning Preprint Oct 2026

Metropolis-Hastings Dominates Importance Resampling for Policy Composition

Post-training a large language model (LLM) often requires exploring trade-offs between multiple rewards, but retraining for each trade-off is expensive. Decoding-time policy composition allows these trade-offs to be adjusted by combining reward-specific policies at inference time. This composition targets a weighted pr...

A. Kurennoy, R. Yarullin, Fergal Reid · 0 citations