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cs.LG2026
Zero-Shot Active Feature Acquisition via LLM-Elicitation
Binyamin Perets, Natalie Mendelson, Shiran Vainberg +3
Active feature acquisition (AFA) sequentially selects which features to observe to reach a classification or ranking decision. Its central limitation is reliance on large amount of…
stat.ML2026
Finite Resources False Discovery Rate Control in Structured Hypothesis Spaces
Binyamin Perets, Shie Mannor
Scientific discovery relies on large-scale hypothesis testing. However, the capacity to identify true discoveries while controlling false discovery faces major challenges: obtainin…
stat.ME2026
Controlling False Discovery in Arbitrarily Structured Hypothesis Spaces via Reproducing Kernels
Binyamin Perets, Shie Mannor
Large-scale hypothesis testing is central to modern science, where controlling the False Discovery Rate (FDR) has become the standard approach to managing false positives across ma…