Summary of Ridge Interpolators in Correlated Factor Regression Models — Exact Risk Analysis, by Mihailo Stojnic
Ridge interpolators in correlated factor regression models – exact risk analysisby Mihailo StojnicFirst submitted to…
Summary of Benign Overfitting in Fixed Dimension Via Physics-informed Learning with Smooth Inductive Bias, by Honam Wong et al.
Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Biasby Honam Wong, Wendao…
Summary of Deep Sketched Output Kernel Regression For Structured Prediction, by Tamim El Ahmad et al.
Deep Sketched Output Kernel Regression for Structured Predictionby Tamim El Ahmad, Junjie Yang, Pierre Laforgue,…
Summary of Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks, by Spencer Young et al.
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networksby Spencer Young, Porter Jenkins, Lonchao Da,…
Summary of A Flexible, Equivariant Framework For Subgraph Gnns Via Graph Products and Graph Coarsening, by Guy Bar-shalom et al.
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarseningby Guy Bar-Shalom,…
Summary of Exioml: Eco-economic Dataset For Machine Learning in Global Sectoral Sustainability, by Yanming Guo et al.
ExioML: Eco-economic dataset for Machine Learning in Global Sectoral Sustainabilityby Yanming Guo, Charles Guan, Jin…
Summary of Central Limit Theorem For Bayesian Neural Network Trained with Variational Inference, by Arnaud Descours (magnet) et al.
Central Limit Theorem for Bayesian Neural Network trained with Variational Inferenceby Arnaud Descours, Tom Huix,…
Summary of Llm-based Knowledge Pruning For Time Series Data Analytics on Edge-computing Devices, by Ruibing Jin et al.
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devicesby Ruibing Jin, Qing Xu,…
Summary of Conformal Load Prediction with Transductive Graph Autoencoders, by Rui Luo and Nicolo Colombo
Conformal Load Prediction with Transductive Graph Autoencodersby Rui Luo, Nicolo ColomboFirst submitted to arxiv on:…
Summary of Deep Learning From Strongly Mixing Observations: Sparse-penalized Regularization and Minimax Optimality, by William Kengne and Modou Wade
Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimalityby William Kengne, Modou WadeFirst…