Logistic Regression makes small LLMs strong and explainable “tens-of-shot” classifiersby Marcus Buckmann, Edward HillFirst submitted…
Machine Learning Applications in Medical Prognostics: A Comprehensive Reviewby Michael FasciaFirst submitted to arxiv on:…
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortalityby Arseniy Shumilov, Yueting Zhu, Negin Ashrafi,…
Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive…
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimizationby Wenrui Yu, Qiongxiu Li, Milan…
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updatesby Fred Lu, Ryan R. Curtin, Edward…
Deep Learning for Prediction and Classifying the Dynamical behaviour of Piecewise Smooth Mapsby Vismaya V…
AdaGrad under Anisotropic Smoothnessby Yuxing Liu, Rui Pan, Tong ZhangFirst submitted to arxiv on: 21…
Pathological Regularization Regimes in Classification Tasksby Maximilian Wiesmann, Paul LarsenFirst submitted to arxiv on: 20…
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentumby Haoyuan Cai, Sulaiman A. Alghunaim, Ali H.SayedFirst…