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AI Blogs
Non-Asymptotic Confidence Bounds for Recursive Quantile Estimation Likai Chen, Georg Keilbar, Wei Biao Wu; 24(91):1−25, 2023. Abstract This study explores the use of the stochastic gradient descent (SGD) algorithm with Polyak-Ruppert averaging for recursive estimation of quantiles. The algorithm provides…
Background: The weight loss outcomes following bariatric surgery can vary significantly among individuals, making it difficult to predict the extent of weight loss before the operation. In this study, we aimed to develop a machine learning model that could provide…
Posterior Consistency for Bayesian Relevance Vector Machines Xiao Fang, Malay Ghosh; 24(174):1−17, 2023. Abstract The problem of statistical modeling and inference with sample sizes substantially smaller than the number of available covariates poses challenges. In a previous study, Chakraborty et…
[Submitted on 31 Aug 2023] Download a PDF of the paper titled CL-MAE: Curriculum-Learned Masked Autoencoders, by Neelu Madan and 4 other authors Download PDF Abstract: Masked image modeling has been proven effective in generating robust representations for multiple downstream…
Theoretical Optimality and Practical Improvements of Decentralized Learning Authors: Yucheng Lu, Christopher De Sa; Published in 2023, Volume 24, Issue 93, Pages 1-62. Abstract Scaling up parallel machine learning systems through decentralization has shown great potential. This paper focuses on…
In the fast-paced digital age, the analysis of document layouts is crucial for automated information extraction and interpretation. Our research focuses on training the MViTv2 transformer model architecture with cascaded mask R-CNN on the BaDLAD dataset. This allows us to…
Model-Based Multi-Agent Reinforcement Learning in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kaiqing Zhang, Sham M. Kakade, Tamer Basar, Lin F. Yang; 24(175):1−53, 2023. Abstract Model-based reinforcement learning (RL) is a fundamental approach in RL that involves establishing an empirical…
Mobile devices have become the most widely used technology, but they are also vulnerable to botnet-related malware. One example is FluBot, a botnet malware that specifically targets mobile devices. FluBot uses Domain Generation Algorithms (DGA) to communicate with its Command…
Statistical Inference for Noisy Incomplete Binary Matrix Authors: Yunxiao Chen, Chengcheng Li, Jing Ouyang, Gongjun Xu; Volume 24, Issue 95, Pages 1-66, 2023. Abstract This paper focuses on statistical inference for noisy incomplete binary (or 1-bit) matrices. While matrix completion…
The content can be rewritten as: arXivLabs is a platform where collaborators can create and share new features for arXiv directly on our website. Both individuals and organizations that collaborate with arXivLabs have embraced and adopted our values of openness,…
