The distribution of an arbitrary linear combination of Student-t random variables with odd degrees of freedom is derived. An easy method of expressing this distribution as a mixture of t-distributions ...

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

Abstract: We give an efficient implementation of the modified minimal polynomial extrapolation (MMPE) method for solving linear and nonlinear systems. We will show how to choose the auxiliary vectors ...

Abstract: A typical cyber-physical system setup includes a local system sending measurements of its internal state to a remote state estimator. A form of attack consists of an eavesdropper observing ...

NOLA is a novel approach for fine-tuning large models such as LLMs and Vision Transformers. Similar to LoRA, NOLA uses a low-rank decomposition of weight matrices for the fine-tuning step. However, ...

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