by instadatahelp | Sep 5, 2023 | AI Blogs
VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback Kirthevasan Kandasamy, Joseph E Gonzalez, Michael I Jordan, Ion Stoica; 24(53):1−45, 2023. Abstract This study focuses on a multi-round mechanism design problem that aims to maximize...
![Early Fixing for Optimization of Gas-lifted Oil Production: A Comparison of Supervised and Weakly-supervised Approaches Using Deep Learning (arXiv:2309.00197v1 [cs.LG])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Sep 5, 2023 | AI Blogs
The aim of this paper is to enhance oil production from gas-lifted oil wells by solving Mixed-Integer Linear Programs (MILPs). These programs need to be repeatedly solved as the parameters of the wells change. Instead of using expensive exact methods or approximate...
by instadatahelp | Sep 4, 2023 | AI Blogs
Adaptive Data Depth via Multi-Armed Bandits Tavor Baharav, Tze Leung Lai; 24(155):1−29, 2023. Abstract Data depth is an important tool in data science, robust statistics, and computational geometry. However, many common measures of depth are computationally intensive,...
by instadatahelp | Sep 4, 2023 | AI Blogs
The rapid growth of large language models (LLMs) has highlighted the importance of discrete speech tokenization in injecting speech into these models. However, this process of discretization results in a loss of information, leading to a decrease in overall...
by instadatahelp | Sep 4, 2023 | AI Blogs
Minimax Rates and Randomized Sketches for Kernel-based Estimation in Partially Functional Linear Models Authors: Shaogao Lv, Xin He, Junhui Wang; Journal of Machine Learning Research, 24(55):1−38, 2023. Abstract This study focuses on the partially functional linear...
