by instadatahelp | Sep 3, 2023 | AI Blogs
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo; 24(167):1−37, 2023. Abstract This study examines a broad range of bilevel problems, where the upper-level problem...
![Enhancing Representation Learning for Unreliable Partial Label Learning: A Robust Approach (arXiv:2308.16718v1 [cs.LG])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Sep 3, 2023 | AI Blogs
Partial Label Learning (PLL) is a form of weakly supervised learning in which each training instance is assigned multiple candidate labels, but only one label is considered the true label. However, this assumption may not always hold true due to potential mistakes in...
by instadatahelp | Sep 3, 2023 | AI Blogs
Approximate Post-Selective Inference for Regression with the Group LASSO Snigdha Panigrahi, Peter W MacDonald, Daniel Kessler; 24(79):1−49, 2023. Abstract In the absence of adjustments for selection bias, inference for the selected parameters after using the Group...
by instadatahelp | Sep 3, 2023 | AI Blogs
The trustworthiness of machine learning models in practical applications has been recently threatened by vulnerabilities to backdoor attacks. While it is commonly believed that not everyone can be an attacker due to the significant effort and extensive experimentation...
by instadatahelp | Sep 3, 2023 | AI Blogs
Inference on the Change Point in a High Dimensional Covariance Shift Authors: Abhishek Kaul, Hongjin Zhang, Konstantinos Tsampourakis, George Michailidis; Journal of Machine Learning Research, 24(168):1−68, 2023. Abstract This study addresses the problem of...
by instadatahelp | Sep 3, 2023 | AI Blogs
[Submitted on 31 Aug 2023] Download a PDF of the paper titled “Everything, Everywhere All in One Evaluation: Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness” by Jan Simson, Florian Pfisterer, and...
