Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samplesby Thomas T. Zhang, Bruce…
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signalsby Yuqi Su, Xiaolei…
Statistical Properties of Deep Neural Networks with Dependent Databy Chad BrownFirst submitted to arxiv on:…
A Kernelizable Primal-Dual Formulation of the Multilinear Singular Value Decompositionby Frederiek Wesel, Kim BatselierFirst submitted…
Predicting from Strings: Language Model Embeddings for Bayesian Optimizationby Tung Nguyen, Qiuyi Zhang, Bangding Yang,…
Diagnosing Hate Speech Classification: Where Do Humans and Machines Disagree, and Why?by Xilin YangFirst submitted…
Deep Transfer Learning: Model Framework and Error Analysisby Yuling Jiao, Huazhen Lin, Yuchen Luo, Jerry…
Scalable Signature-Based Distribution Regression via Reference Setsby Andrew Alden, Carmine Ventre, Blanka HorvathFirst submitted to…
DFM: Interpolant-free Dual Flow Matchingby Denis Gudovskiy, Tomoyuki Okuno, Yohei NakataFirst submitted to arxiv on:…
Ranking over Regression for Bayesian Optimization and Molecule Selectionby Gary Tom, Stanley Lo, Samantha Corapi,…