by instadatahelp | Sep 4, 2023 | AI Blogs
Tractability and Non-Approximability of SHAP-Score-Based Explanations Marcelo Arenas, Pablo Barcelo, Leopoldo Bertossi, Mikael Monet; 24(63):1−58, 2023. Abstract Shapley values-based scores are commonly used to provide explanations for classification results in...
![RePo: Enhancing Resilient Model-Based Reinforcement Learning through Posterior Predictability Regularization. (arXiv:2309.00082v1 [cs.LG])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Sep 4, 2023 | AI Blogs
In this paper, we present a novel approach to visual model-based RL methods. These methods often encode image observations into low-dimensional representations, but they do not effectively eliminate redundant information. As a result, they are vulnerable to spurious...
by instadatahelp | Sep 4, 2023 | AI Blogs
Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling Shoaib Bin Masud, Matthew Werenski, James M. Murphy, Shuchin Aeron; 24(160):1−65, 2023. Abstract This paper introduces the concept of multivariate soft rank,...
by instadatahelp | Sep 4, 2023 | AI Blogs
Previous research utilized backward error analysis to identify ordinary differential equations (ODEs) that approximate the gradient descent trajectory. These studies revealed that finite step sizes implicitly regulate solutions by penalizing the two-norm of the loss...
by instadatahelp | Sep 4, 2023 | AI Blogs
Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule Nikhil Iyer, V. Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu; 24(65):1−37, 2023. Abstract This paper presents detailed experiments that support the argument that wide minima...
