Summary of Distribution Learning For Molecular Regression, by Nima Shoghi et al.
Distribution Learning for Molecular Regressionby Nima Shoghi, Pooya Shoghi, Anuroop Sriram, Abhishek DasFirst submitted to…
Summary of Revisiting Agnostic Pac Learning, by Steve Hanneke et al.
Revisiting Agnostic PAC Learningby Steve Hanneke, Kasper Green Larsen, Nikita ZhivotovskiyFirst submitted to arxiv on:…
Summary of Bayesian Meta Learning For Trustworthy Uncertainty Quantification, by Zhenyuan Yuan et al.
Bayesian meta learning for trustworthy uncertainty quantificationby Zhenyuan Yuan, Thinh T. DoanFirst submitted to arxiv…
Summary of Statistical Significance Of Feature Importance Rankings, by Jeremy Goldwasser and Giles Hooker
Statistical Significance of Feature Importance Rankingsby Jeremy Goldwasser, Giles HookerFirst submitted to arxiv on: 28…
Summary of Sliced Wasserstein with Random-path Projecting Directions, by Khai Nguyen and Shujian Zhang and Tam Le and Nhat Ho
Sliced Wasserstein with Random-Path Projecting Directionsby Khai Nguyen, Shujian Zhang, Tam Le, Nhat HoFirst submitted…
Summary of Probabilistic Guarantees Of Stochastic Recursive Gradient in Non-convex Finite Sum Problems, by Yanjie Zhong et al.
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problemsby Yanjie Zhong, Jiaqi Li,…