Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Modelsby Christopher W. Curtis,…
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Predictionby Huiqun Huang, Sihong He, Fei…
Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamicsby Runzhe Wu, Ayush Sekhari, Akshay…
Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actionsby Noah Golowich, Ankur…
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecastingby Daojun Liang, Haixia Zhang, Dongfeng…
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasksby Peter Samoaa, Mehrdad Farahani, Antonio…
First-Order Manifold Data Augmentation for Regression Learningby Ilya Kaufman, Omri AzencotFirst submitted to arxiv on:…
Stacking for Probabilistic Short-term Load Forecastingby Grzegorz DudekFirst submitted to arxiv on: 15 Jun 2024CategoriesMain:…
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecastingby Romain Ilbert,…
An Efficient Approach to Regression Problems with Tensor Neural Networksby Yongxin Li, Yifan Wang, Zhongshuo…