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20232026
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8 papers · 1 filter

stat.ML2026

Byzantine-Robust Federated RAG via Aligned Calibration and Fixed-Membership Conformal Prediction

Prasanjit Dubey, Xiaoming Huo, Aritra Guha

Retrieval-augmented generation (RAG) lets language models answer questions more accurately by consulting relevant documents. Many valuable collections, such as medical records, can…

stat.ME2026

Pooling Sequential Evidence Across Hypotheses: Rate-Optimal Multiple Testing at a Fixed Horizon

Prasanjit Dubey, Xiaoming Huo

We study sequential testing of a fixed family of hypotheses when observations are costly and a sampling horizon is specified in advance. The challenge is to pool evidence for earli…

stat.ME2026

Federated multiple testing with quantized p-values under family-wise error control

Prasanjit Dubey, Xiaoming Huo

Several institutions test one family of hypotheses under family-wise error control but cannot pool their data, so each site releases only a quantized report of its p-value for each…

stat.ML2026

Matching Rates and Optimal Allocation for Federated Probe-Logit Distillation under Heterogeneous Bandwidth Budgets

Prasanjit Dubey, Xiaoming Huo

In federated language modeling, nodes each hold samples but cannot pool data or exchange full-precision gradients or weights. We study the minimax rate at which a condition…

stat.ML2026

Certified Adaptive Refresh: Anytime-Valid Monitoring for Federated Conformal RAG

Prasanjit Dubey, Xiaoming Huo

Question-answering services built on retrieval-augmented generation (RAG), in which a language model answers from retrieved documents, are inspected continuously and upgraded repea…

stat.ME2026

BOOST: Power-Optimal Strong-FWER Testing for Block-Structured Multiplicity

Prasanjit Dubey, Xiaoming Huo

Structured multiple-testing problems (gatekeeping trials, dose-finding, multi-tissue eQTL mapping, bundled-challenger A/B experiments) organize hypotheses into design-imposed block…

stat.ML2026

Federated Language Models Under Bandwidth Budgets: Distillation Rates and Conformal Coverage

Prasanjit Dubey, Xiaoming Huo

Hospitals, companies, and research consortia want language models that learn from, and answer questions over, data that must stay where it is held, over links with limited bandwidt…

stat.ME2026

Optimal multiple testing under family-wise error control: elementary symmetric polynomials and a scalable algorithm

Prasanjit Dubey, Xiaoming Huo

Family-wise error rate control is essential when even one false rejection is costly, but distribution-free procedures do not exploit information in a specified alternative model. E…