Search Results for author:
Found 8 papers, 2 papers with code
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models
This work introduces EE-Tuning, a lightweight and economical solution to training/tuning early-exit large language models (LLMs).
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism
We present EE-LLM, a framework for large-scale training and inference of early-exit large language models (LLMs).
Ranking from Pairwise Comparisons in General Graphs and Graphs with Locality
This technical report studies the problem of ranking from pairwise comparisons in the classical Bradley-Terry-Luce (BTL) model, with a focus on score estimation.
A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry
Objective: To build a surface-based model to 1) detect differences between APOE subgroups in patterns of tau deposition and hippocampal atrophy, and 2) use the extracted surface-based features to predict cognitive decline.
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods
Efficient computation of the optimal transport distance between two distributions serves as an algorithm subroutine that empowers various applications.
Learning Mixtures of Linear Dynamical Systems
We study the problem of learning a mixture of multiple linear dynamical systems (LDSs) from unlabeled short sample trajectories, each generated by one of the LDS models.
Learning Mixtures of Low-Rank Models
We study the problem of learning mixtures of low-rank models, i. e. reconstructing multiple low-rank matrices from unlabelled linear measurements of each.
Active Orthogonal Matching Pursuit for Sparse Subspace Clustering
In this letter, we propose a novel Active OMP-SSC, which improves clustering accuracy of OMP-SSC by adaptively updating data points and randomly dropping data points in the OMP process, while still enjoying the low computational complexity of greedy pursuit algorithms.
