Summary of Adaptive Rkhs Fourier Features For Compositional Gaussian Process Models, by Xinxing Shi et al.
Adaptive RKHS Fourier Features for Compositional Gaussian Process Modelsby Xinxing Shi, Thomas Baldwin-McDonald, Mauricio A.…
Summary of Probabilistic Conformal Prediction with Approximate Conditional Validity, by Vincent Plassier et al.
Probabilistic Conformal Prediction with Approximate Conditional Validityby Vincent Plassier, Alexander Fishkov, Mohsen Guizani, Maxim Panov,…
Summary of Combinations Of Distributional Regression Algorithms with Application in Uncertainty Estimation Of Corrected Satellite Precipitation Products, by Georgia Papacharalampous et al.
Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation productsby…
Summary of Proximity Matters: Local Proximity Preserved Balancing For Treatment Effect Estimation, by Hao Wang et al.
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimationby Hao Wang, Zhichao Chen, Yuan…
Summary of Enabling Mixed Effects Neural Networks For Diverse, Clustered Data Using Monte Carlo Methods, by Andrej Tschalzev et al.
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methodsby Andrej Tschalzev,…
Summary of Neural Networks Trained by Weight Permutation Are Universal Approximators, By Yongqiang Cai et al.
Neural Networks Trained by Weight Permutation are Universal Approximatorsby Yongqiang Cai, Gaohang Chen, Zhonghua QiaoFirst…
Summary of Model-based Offline Reinforcement Learning with Lower Expectile Q-learning, by Kwanyoung Park and Youngwoon Lee
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learningby Kwanyoung Park, Youngwoon LeeFirst submitted to arxiv…
Summary of Hyperparameter Optimization For Randomized Algorithms: a Case Study on Random Features, by Oliver R. A. Dunbar et al.
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Featuresby Oliver R. A. Dunbar,…
Summary of Predicting Elevated Risk Of Hospitalization Following Emergency Department Discharges, by Dat Hong et al.
Predicting Elevated Risk of Hospitalization Following Emergency Department Dischargesby Dat Hong, Philip M. Polgreen, Alberto…
Summary of The Computational Curse Of Big Data For Bayesian Additive Regression Trees: a Hitting Time Analysis, by Yan Shuo Tan et al.
The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysisby…