From the 1 of 12 linked papers with an AI index.
12 papers
A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes
Yijin Ni, Xiaoming Huo
Fair representation learning with a continuous sensitive attribute requires a representation that is statistically independent of . Existing criteria, including generali…
The Noise Premium in Adversarial Training for Kernel Regression
Yiling Xie, Xiaoming Huo
The paper analyzes adversarial training within reproducing kernel Hilbert spaces, deriving generalization bounds and showing how noise affects the trade‑off between robustness and…
A Polyak-Ruppert Central Limit Theorem for SA-Adam with Momentum and Non-Convergent Adaptive Preconditioning
Sunyoung An, Xiaoming Huo
Adaptive optimizers combining preconditioning, momentum, and weight decay (Adam and AdamW) are, under Polyak-Ruppert averaging, candidate engines for one-pass inference. Does the a…
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…
Anytime-Valid Federated Conformal RAG for LLM Swarms
Prasanjit Dubey, Xiaoming Huo
Federated Conformal RAG (FC-RAG) provides distribution-free coverage for a bandwidth-limited swarm of weak language models, but only at a fixed horizon. We extend it to anytime-val…
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…