Summary of Is Data Valuation Learnable and Interpretable?, by Ou Wu et al.
Is Data Valuation Learnable and Interpretable?by Ou Wu, Weiyao Zhu, Mengyang LiFirst submitted to arxiv…
Summary of Kolmogorov-arnold Networks For Time Series: Bridging Predictive Power and Interpretability, by Kunpeng Xu et al.
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretabilityby Kunpeng Xu, Lifei Chen, Shengrui…
Summary of Robust and Highly Scalable Estimation Of Directional Couplings From Time-shifted Signals, by Louis Rouillard et al.
Robust and highly scalable estimation of directional couplings from time-shifted signalsby Louis Rouillard, Luca Ambrogioni,…
Summary of Feddr+: Stabilizing Dot-regression with Global Feature Distillation For Federated Learning, by Seongyoon Kim et al.
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learningby Seongyoon Kim, Minchan Jeong, Sungnyun…
Summary of Composite Quantile Regression with Xgboost Using the Novel Arctan Pinball Loss, by Laurens Sluijterman et al.
Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Lossby Laurens Sluijterman, Frank Kreuwel,…
Summary of Polynomial-augmented Neural Networks (panns) with Weak Orthogonality Constraints For Enhanced Function and Pde Approximation, by Madison Cooley et al.
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximationby Madison…
Summary of Diffusion Boosted Trees, by Xizewen Han and Mingyuan Zhou
Diffusion Boosted Treesby Xizewen Han, Mingyuan ZhouFirst submitted to arxiv on: 3 Jun 2024CategoriesMain: Machine…
Summary of Learning Analysis Of Kernel Ridgeless Regression with Asymmetric Kernel Learning, by Fan He et al.
Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learningby Fan He, Mingzhen He, Lei…
Summary of Distributional Refinement Network: Distributional Forecasting Via Deep Learning, by Benjamin Avanzi et al.
Distributional Refinement Network: Distributional Forecasting via Deep Learningby Benjamin Avanzi, Eric Dong, Patrick J. Laub,…
Summary of Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift, by Jiayun Wu et al.
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shiftby Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei…