Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methodsby Bertille Follain, Francis BachFirst…
Sparse Tensor PCA via Tensor Decomposition for Unsupervised Feature Selectionby Junjing Zheng, Xinyu Zhang, Weidong…
Estimating Probability Densities with Transformer and Denoising Diffusionby Henry W. Leung, Jo Bovy, Joshua S.…
Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniquesby Parsa Razmara, Tina Khezresmaeilzadeh,…
Regression under demographic parity constraints via unlabeled post-processingby Evgenii Chzhen, Mohamed Hebiri, Gayane TaturyanFirst submitted…
Practical multi-fidelity machine learning: fusion of deterministic and Bayesian modelsby Jiaxiang Yi, Ji Cheng, Miguel…
Conformal Thresholded Intervals for Efficient Regressionby Rui Luo, Zhixin ZhouFirst submitted to arxiv on: 19…
Forecasting GPU Performance for Deep Learning Training and Inferenceby Seonho Lee, Amar Phanishayee, Divya MahajanFirst…
Model-based Policy Optimization using Symbolic World Modelby Andrey Gorodetskiy, Konstantin Mironov, Aleksandr PanovFirst submitted to…
Differential Privacy Mechanisms in Neural Tangent Kernel Regressionby Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, Zhenmei…