1 citations · 1 across the 4 of their papers we have counts for
7 papers
Metropolis-Hastings Dominates Importance Resampling for Policy Composition
Alexey Kurennoy, Ramil Yarullin, Fergal Reid
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 compos…
EARL: Exposure- and Allocation-Reweighted Linear Estimator for Bipartite Experiments with Partial Assignment
Alexey Kurennoy
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 ne…
Reducing Popularity Influence by Addressing Position Bias
Andrii Dzhoha, Alexey Kurennoy, Vladimir Vlasov +1
Position bias poses a persistent challenge in recommender systems, with much of the existing research focusing on refining ranking relevance and driving user engagement. However, i…
Building a Scalable, Effective, and Steerable Search and Ranking Platform
Marjan Celikik, Jacek Wasilewski, Ana Peleteiro Ramallo +7
Modern e-commerce platforms offer vast product selections, making it difficult for customers to find items that they like and that are relevant to their current session intent. Thi…
YEAST: Yet Another Sequential Test
Alexey Kurennoy, Majed Dodin, Tural Gurbanov +1
Online A/B experiments require timely detection of harmful changes while controlling false alarms. We introduce YEAST, a simple sequential test for continuous monitoring of count a…
A General Framework for Pairwise Unbiased Learning to Rank
Alexey Kurennoy, John Coleman, Ian Harris +3
Pairwise debiasing is one of the most effective strategies in reducing position bias in learning-to-rank (LTR) models. However, limiting the scope of this strategy, are the underly…
Estimating the Distribution of Displacements
Alexey Kurennoy
In this paper, we propose a method for estimating the distribution of time differences between connected events (such as ad impressions and corresponding customer calls). A special…