Summary of A Statistical Theory Of Regularization-based Continual Learning, by Xuyang Zhao et al.
A Statistical Theory of Regularization-Based Continual Learningby Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei LinFirst…
Summary of Computational and Statistical Guarantees For Tensor-on-tensor Regression with Tensor Train Decomposition, by Zhen Qin and Zhihui Zhu
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decompositionby Zhen Qin, Zhihui ZhuFirst…
Summary of Heterogeneous Treatment Effects in Panel Data, by Retsef Levi et al.
Heterogeneous Treatment Effects in Panel Databy Retsef Levi, Elisabeth Paulson, Georgia Perakis, Emily ZhangFirst submitted…
Summary of Representation Learning with Conditional Information Flow Maximization, by Dou Hu et al.
Representation Learning with Conditional Information Flow Maximizationby Dou Hu, Lingwei Wei, Wei Zhou, Songlin HuFirst…
Summary of Mixed-curvature Decision Trees and Random Forests, by Philippe Chlenski et al.
Mixed-Curvature Decision Trees and Random Forestsby Philippe Chlenski, Quentin Chu, Itsik Pe'erFirst submitted to arxiv…
Summary of Generative Modeling Of Density Regression Through Tree Flows, by Zhuoqun Wang et al.
Generative modeling of density regression through tree flowsby Zhuoqun Wang, Naoki Awaya, Li MaFirst submitted…
Summary of Root Cause Analysis Of Outliers with Missing Structural Knowledge, by Nastaran Okati et al.
Root Cause Analysis of Outliers with Missing Structural Knowledgeby Nastaran Okati, Sergio Hernan Garrido Mejia,…
Summary of Optimization Of Geological Carbon Storage Operations with Multimodal Latent Dynamic Model and Deep Reinforcement Learning, by Zhongzheng Wang et al.
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learningby…
Summary of Cooperative Meta-learning with Gradient Augmentation, by Jongyun Shin et al.
Cooperative Meta-Learning with Gradient Augmentationby Jongyun Shin, Seunjin Han, Jangho KimFirst submitted to arxiv on:…
Summary of Regularized Kl-divergence For Well-defined Function-space Variational Inference in Bayesian Neural Networks, by Tristan Cinquin and Robert Bamler
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networksby Tristan Cinquin, Robert BamlerFirst…