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Enyun Yu

2 accepted papers

2026

Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data

ICML 2026poster

Estimating heterogeneous treatment effects is central to data-driven decision-making, yet industrial applications often face a fundamental tension between limited randomized controlled trial (RCT) budgets and abundant but biased observational data collected under historical targeting policies. Altho…

Cited by 0SourceScholar
2026

CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search

AAAI 2026technical

Dense retrieval has become a foundational paradigm in modern search systems, especially on short-video platforms. However, most industrial systems adopt a self-reinforcing training pipeline that relies on historically exposed user interactions for supervision. This paradigm inevitably leads to a fil

Cited by 0SourcePDFScholar