Summary of Skscope: Fast Sparsity-constrained Optimization in Python, by Zezhi Wang et al.
skscope: Fast Sparsity-Constrained Optimization in Pythonby Zezhi Wang, Jin Zhu, Peng Chen, Huiyang Peng, Xiaoke…
Summary of An Analysis Of Linear Time Series Forecasting Models, by William Toner et al.
An Analysis of Linear Time Series Forecasting Modelsby William Toner, Luke DarlowFirst submitted to arxiv…
Summary of Analysing Heavy-tail Properties Of Stochastic Gradient Descent by Means Of Stochastic Recurrence Equations, By Ewa Damek and Sebastian Mentemeier
Analysing heavy-tail properties of Stochastic Gradient Descent by means of Stochastic Recurrence Equationsby Ewa Damek,…
Summary of Adatrans: Feature-wise and Sample-wise Adaptive Transfer Learning For High-dimensional Regression, by Zelin He et al.
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regressionby Zelin He, Ying Sun, Jingyuan…
Summary of Federated Transfer Learning with Differential Privacy, by Mengchu Li et al.
Federated Transfer Learning with Differential Privacyby Mengchu Li, Ye Tian, Yang Feng, Yi YuFirst submitted…
Summary of Robust Sparse Estimation For Gaussians with Optimal Error Under Huber Contamination, by Ilias Diakonikolas et al.
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contaminationby Ilias Diakonikolas, Daniel M.…
Summary of Upper Bound Of Bayesian Generalization Error in Partial Concept Bottleneck Model (cbm): Partial Cbm Outperforms Naive Cbm, by Naoki Hayashi and Yoshihide Sawada
Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms…
Summary of Multifidelity Linear Regression For Scientific Machine Learning From Scarce Data, by Elizabeth Qian et al.
Multifidelity linear regression for scientific machine learning from scarce databy Elizabeth Qian, Dayoung Kang, Vignesh…
Summary of How Well Can Transformers Emulate In-context Newton’s Method?, by Angeliki Giannou et al.
How Well Can Transformers Emulate In-context Newton’s Method?by Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris…
Summary of Out-of-distribution Robustness For Multivariate Analysis Via Causal Regularisation, by Homer Durand et al.
Out-of-distribution robustness for multivariate analysis via causal regularisationby Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau…