Summary of Fastkqr: a Fast Algorithm For Kernel Quantile Regression, by Qian Tang et al.
fastkqr: A Fast Algorithm for Kernel Quantile Regressionby Qian Tang, Yuwen Gu, Boxiang WangFirst submitted…
Summary of Generalized Encouragement-based Instrumental Variables For Counterfactual Regression, by Anpeng Wu et al.
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regressionby Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Xiangwei Chen,…
Summary of Zero-shot Uncertainty Quantification Using Diffusion Probabilistic Models, by Dule Shu and Amir Barati Farimani
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Modelsby Dule Shu, Amir Barati FarimaniFirst submitted to arxiv…
Summary of How Transformers Utilize Multi-head Attention in In-context Learning? a Case Study on Sparse Linear Regression, by Xingwu Chen et al.
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regressionby…
Summary of Risk and Cross Validation in Ridge Regression with Correlated Samples, by Alexander Atanasov and Jacob A. Zavatone-veth and Cengiz Pehlevan
Risk and cross validation in ridge regression with correlated samplesby Alexander Atanasov, Jacob A. Zavatone-Veth,…
Summary of Probabilistic Energy Forecasting Through Quantile Regression in Reproducing Kernel Hilbert Spaces, by Luca Pernigo and Rohan Sen and Davide Baroli
Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spacesby Luca Pernigo, Rohan Sen,…
Summary of Teach Clip to Develop a Number Sense For Ordinal Regression, by Yao Du et al.
Teach CLIP to Develop a Number Sense for Ordinal Regressionby Yao Du, Qiang Zhai, Weihang…
Summary of Probabilistic Surrogate Model For Accelerating the Design Of Electric Vehicle Battery Enclosures For Crash Performance, by Shadab Anwar Shaikh et al.
Probabilistic Surrogate Model for Accelerating the Design of Electric Vehicle Battery Enclosures for Crash Performanceby…
Summary of Deciphering Air Travel Disruptions: a Machine Learning Approach, by Aravinda Jatavallabha et al.
Deciphering Air Travel Disruptions: A Machine Learning Approachby Aravinda Jatavallabha, Jacob Gerlach, Aadithya NareshFirst submitted…
Summary of Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances, by Lang Zeng et al.
Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidancesby Lang Zeng, Weijing…