Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
IEEE

ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance

Abstract: The demand for efficient large language model (LLM) inference has propelled the development of dedicated accelerators. As accelerators are vulnerable to hardware faults due to aging, ...
GitHub

Efficient Inference on High-Dimensional Linear Models With Missing Outcomes

This package implements the proposed debiasing method for conducting valid inference on the high-dimensional linear regression function with missing outcomes. We also document all the code for the ...
IEEE

Robust Statistical Inference for Accelerated Life-Tests With One-Shot Devices Under Log-Logistic Distributions

Abstract: A one-shot device is a unit that operates only once, after which it is either destroyed or needs to be rebuilt. For this type of device, the operational status can only be assessed at a ...