Summary of Movie Revenue Prediction Using Machine Learning Models, by Vikranth Udandarao and Pratyush Gupta
Movie Revenue Prediction using Machine Learning Modelsby Vikranth Udandarao, Pratyush GuptaFirst submitted to arxiv on:…
Summary of Remodels: Quantile Regression Averaging Models, by Grzegorz Zakrzewski et al.
ReModels: Quantile Regression Averaging modelsby Grzegorz Zakrzewski, Kacper Skonieczka, Mikołaj Małkiński, Jacek MańdziukFirst submitted to…
Summary of Prompt Exploration with Prompt Regression, by Michael Feffer et al.
Prompt Exploration with Prompt Regressionby Michael Feffer, Ronald Xu, Yuekai Sun, Mikhail YurochkinFirst submitted to…
Summary of Mtlcomb: Multi-task Learning Combining Regression and Classification Tasks For Joint Feature Selection, by Han Cao et al.
MTLComb: multi-task learning combining regression and classification tasks for joint feature selectionby Han Cao, Sivanesan…
Summary of On the Saturation Effect Of Kernel Ridge Regression, by Yicheng Li et al.
On the Saturation Effect of Kernel Ridge Regressionby Yicheng Li, Haobo Zhang, Qian LinFirst submitted…
Summary of Scalable Sparse Regression For Model Discovery: the Fast Lane to Insight, by Matthew Golden
Scalable Sparse Regression for Model Discovery: The Fast Lane to Insightby Matthew GoldenFirst submitted to…
Summary of Rs-reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing, by Aref Miri Rekavandi et al.
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothingby Aref Miri Rekavandi, Olga Ohrimenko, Benjamin…
Summary of Learning Decision Policies with Instrumental Variables Through Double Machine Learning, by Daqian Shao et al.
Learning Decision Policies with Instrumental Variables through Double Machine Learningby Daqian Shao, Ashkan Soleymani, Francesco…
Summary of Scalable Subsampling Inference For Deep Neural Networks, by Kejin Wu and Dimitris N. Politis
Scalable Subsampling Inference for Deep Neural Networksby Kejin Wu, Dimitris N. PolitisFirst submitted to arxiv…
Summary of A Galois Theorem For Machine Learning: Functions on Symmetric Matrices and Point Clouds Via Lightweight Invariant Features, by Ben Blum-smith et al.
A Galois theorem for machine learning: Functions on symmetric matrices and point clouds via lightweight…