Zobrazeno 1 - 10
of 403
pro vyhledávání: '"JIANG Yuning"'
Autor:
Ma, Yingcai, Wang, Ziyang, Yan, Yuliang, Wu, Jian, Jiang, Yuning, Li, Longbin, Chen, Wen, Huang, Jianhang
In recommendation systems, the matching stage is becoming increasingly critical, serving as the upper limit for the entire recommendation process. Recently, some studies have started to explore the use of multi-scenario information for recommendation
Externí odkaz:
http://arxiv.org/abs/2408.00247
Autor:
Sheng, Xiang-Rong, Yang, Feifan, Gong, Litong, Wang, Biao, Chan, Zhangming, Zhang, Yujing, Cheng, Yueyao, Zhu, Yong-Nan, Ge, Tiezheng, Zhu, Han, Jiang, Yuning, Xu, Jian, Zheng, Bo
Despite the recognized potential of multimodal data to improve model accuracy, many large-scale industrial recommendation systems, including Taobao display advertising system, predominantly depend on sparse ID features in their models. In this work,
Externí odkaz:
http://arxiv.org/abs/2407.19467
The integration of various power sources, including renewables and electric vehicles, into smart grids is expanding, introducing uncertainties that can result in issues like voltage imbalances, load fluctuations, and power losses. These challenges ne
Externí odkaz:
http://arxiv.org/abs/2403.16402
We study the problem of preferential Bayesian optimization (BO), where we aim to optimize a black-box function with only preference feedback over a pair of candidate solutions. Inspired by the likelihood ratio idea, we construct a confidence set of t
Externí odkaz:
http://arxiv.org/abs/2402.05367
Autor:
Dai, Xinliang, Kocher, Alexander, Kovačević, Jovana, Dindar, Burak, Jiang, Yuning, Jones, Colin N., Çakmak, Hüseyin, Hagenmeyer, Veit
During the energy transition, the significance of collaborative management among institutions is rising, confronting challenges posed by data privacy concerns. Prevailing research on distributed approaches, as an alternative to centralized management
Externí odkaz:
http://arxiv.org/abs/2402.01001
This paper proposes a real-time distributed operational architecture to efficiently coordinate intergrated transmission and distribution systems (ITD). At the distribution system level, the distribution system operator (DSO) computes the aggregated f
Externí odkaz:
http://arxiv.org/abs/2402.00508
Autor:
Gui, Xiaoqiang, Cheng, Yueyao, Sheng, Xiang-Rong, Zhao, Yunfeng, Yu, Guoxian, Han, Shuguang, Jiang, Yuning, Xu, Jian, Zheng, Bo
In machine learning systems, privileged features refer to the features that are available during offline training but inaccessible for online serving. Previous studies have recognized the importance of privileged features and explored ways to tackle
Externí odkaz:
http://arxiv.org/abs/2312.08727
Autor:
Lu, Minfang, Jiang, Yuchen, Dong, Huihui, Li, Qi, Xu, Ziru, Liu, Yuanlin, Wu, Lixia, Hu, Haoyuan, Zhu, Han, Jiang, Yuning, Xu, Jian, Zheng, Bo
In large-scale industrial e-commerce, the efficiency of an online recommendation system is crucial in delivering highly relevant item/content advertising that caters to diverse business scenarios. However, most existing studies focus solely on item a
Externí odkaz:
http://arxiv.org/abs/2310.15492
Distributed learning has become a promising computational parallelism paradigm that enables a wide scope of intelligent applications from the Internet of Things (IoT) to autonomous driving and the healthcare industry. This paper studies distributed l
Externí odkaz:
http://arxiv.org/abs/2310.11998
This paper studies the problem of distributed multi-agent Bayesian optimization with both coupled black-box constraints and known affine constraints. A primal-dual distributed algorithm is proposed that achieves similar regret/violation bounds as tho
Externí odkaz:
http://arxiv.org/abs/2310.00962