Summary of Enhancing Social Media Post Popularity Prediction with Visual Content, by Dahyun Jeong et al.
Enhancing Social Media Post Popularity Prediction with Visual Contentby Dahyun Jeong, Hyelim Son, Yunjin Choi,…
Summary of Uncertainty Quantification For Iterative Algorithms in Linear Models with Application to Early Stopping, by Pierre C. Bellec and Kai Tan
Uncertainty quantification for iterative algorithms in linear models with application to early stoppingby Pierre C.…
Summary of Machine Learning Based Prediction Of Vanadium Redox Flow Battery Temperature Rise Under Different Charge-discharge Conditions, by Anirudh Narayan D et al.
Machine Learning based prediction of Vanadium Redox Flow Battery temperature rise under different charge-discharge conditionsby…
Summary of Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference, by Zhe Zhang et al.
Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inferenceby Zhe Zhang, Ryumei Nakada, Linjun…
Summary of Analytical Results For Uncertainty Propagation Through Trained Machine Learning Regression Models, by Andrew Thompson
Analytical results for uncertainty propagation through trained machine learning regression modelsby Andrew ThompsonFirst submitted to…
Summary of Large Language Models Can Automatically Engineer Features For Few-shot Tabular Learning, by Sungwon Han et al.
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learningby Sungwon Han, Jinsung Yoon,…
Summary of Overparameterized Multiple Linear Regression As Hyper-curve Fitting, by E. Atza et al.
Overparameterized Multiple Linear Regression as Hyper-Curve Fittingby E. Atza, N. BudkoFirst submitted to arxiv on:…
Summary of Inferring Change Points in High-dimensional Regression Via Approximate Message Passing, by Gabriel Arpino et al.
Inferring Change Points in High-Dimensional Regression via Approximate Message Passingby Gabriel Arpino, Xiaoqi Liu, Julia…
Summary of Comparison Of Decision Trees with Local Interpretable Model-agnostic Explanations (lime) Technique and Multi-linear Regression For Explaining Support Vector Regression Model in Terms Of Root Mean Square Error (rmse) Values, by Amit Thombre
Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for…
Summary of Minimum-norm Interpolation Under Covariate Shift, by Neil Mallinar et al.
Minimum-Norm Interpolation Under Covariate Shiftby Neil Mallinar, Austin Zane, Spencer Frei, Bin YuFirst submitted to…