Summary of Bayesian Intervention Optimization For Causal Discovery, by Yuxuan Wang et al.
Bayesian Intervention Optimization for Causal Discoveryby Yuxuan Wang, Mingzhou Liu, Xinwei Sun, Wei Wang, Yizhou…
Bayesian Intervention Optimization for Causal Discoveryby Yuxuan Wang, Mingzhou Liu, Xinwei Sun, Wei Wang, Yizhou…
Breaking the Attention Bottleneckby Kalle HilsenbekFirst submitted to arxiv on: 16 Jun 2024CategoriesMain: Machine Learning…
First-Order Manifold Data Augmentation for Regression Learningby Ilya Kaufman, Omri AzencotFirst submitted to arxiv on:…
The Implicit Bias of Adam on Separable Databy Chenyang Zhang, Difan Zou, Yuan CaoFirst submitted…
UniZero: Generalized and Efficient Planning with Scalable Latent World Modelsby Yuan Pu, Yazhe Niu, Zhenjie…
A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarkingby Jun Zhang, Wenxuan Ao, Junbo Yan,…
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-trainingby David Brandfonbrener, Hanlin Zhang, Andreas…
Scale Equivariant Graph Metanetworksby Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis PanagakisFirst submitted to arxiv on: 15…
Calibrating Neural Networks’ parameters through Optimal Contraction in a Prediction Problemby Valdes GonzaloFirst submitted to…
Graph Neural Thompson Samplingby Shuang Wu, Arash A. AminiFirst submitted to arxiv on: 15 Jun…