The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. JMLR seeks previously unpublished papers that contain: new algorithms with empirical, theoretical, psychological, or...
Kernel methods have been very popular in the machine learning literature in the last ten years, mainly in the context of Tikhonov regularization algorithms... NS Pillai,W Qiang,F Liang,... - 《Journal of Machine Learning Research》 被引量: 114发表: 2007年 Characterizing the Function Space for...
mini-tutorial on the pre-registration process to get you started quickly. Pre-registered papers will be published at the workshop. The final results will be published in the Proceedings of Machine Learning Research (PMLR), a sister publication to the Journal of Machine Learning Research (JMLR)....
Generative Flow Networks (GFlowNets) address the complex challenge of sampling from unnormalized probability distributions in machine learning. By learning a policy on a constructed graph, GFlowNets facilitates efficient sampling through a series of steps,...
This Machine Learning Research from Microsoft Introduces an Active Preference Elicitation Method for the Online Alignment of Large Language Models
Qlib supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. An increasing number of SOTA Quant research works/papers in diverse paradigms are being released in Qlib to collaboratively solve key challenges in quantitative ...
This repository contains the code used to produce the experimental results of the article "A Multilabel Framework for Approximate Nearest Neighbor Search" (2024) published in Journal of Machine Learning Research (JMLR).RequirementsTo download the data sets and convert them to the binary format used...
This is further complicated by the lack or unavailability of anomalous log entries to develop trained machine learning or artificial intelligence models for such purposes. In this research work, we explore the use of a Retrieval Augmented Large Language Model that leverages a vector database to ...
Reinforcement Learning (RL) 4 benchmarks 4150 papers with code NMT 504 papers with code Code Generation 30 benchmarks 448 papers with code Text-To-SQL 6 benchmarks 154 papers with code See all 75 tasks Adversarial Object 3587 papers with code ...
Shangqing Wu has his Master degree from Beijing Jiaotong University and Bachelor degree from Beijing University of Posts and Telecommunications. He joined WorldQuant as Research Analyst in 2015, and now is one of the drivers of NLP research project. ...