Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
Thomas M. Mcdonald, Lucas Maystre, Mounia Lalmas, Kamil Ciosek
KDD 2023 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
496papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled496100.0%
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TitleTypeTopic
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs
Yuankai Luo, Lei Shi, Mufan Xu, Yuwen Ji, Fengli Xiao, Chunming Hu, Zhiguang Shan
Identifying Complicated Contagion Scenarios from Cascade Data
Galen Harrison, Amro Alabsi Aljundi, Jiangzhuo Chen, S S Ravi, Anil Kumar Vullikanti, Madhav Marathe, Abhijin Adiga
IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems
Jiadong Chen, Yang Luo, Xiuqi Huang, Fuxin Jiang, Yangguang Shi, Tieying Zhang, Xiaofeng Gao
ILRoute: A Graph-based Imitation Learning Method to Unveil Riders’ Routing Strategies in Food Delivery Service
Tao Feng, Huan Yan, Huandong Wang, Wenzhen Huang, Yuyang Han, Hongsen Liao, Jinghua Hao, Yong Li
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang song
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
Jia-Qi Yang, Yucheng XU, Jia-Lei Shen, Kebin Fan, De-Chuan Zhan, Yang Yang
Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree
Delvin Ce Zhang, Rex Ying, Hady W. Lauw
Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream
Yiyao Zhang, Bin Cui
How does the Memorization of Neural Networks Impact Adversarial Robust Models?
Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil Jain, Jiliang Tang
How Transitive Are Real-World Group Interactions? Measurement and Reproduction
Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
The Hong Kong University of Science and Technology, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections
Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, Hui Xiong
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
Hierarchical Projection Enhanced Multi-behavior Recommendation
Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
Hierarchical Invariant Learning for Domain Generalization Recommendation
Zeyu Zhang, Heyang Gao, Hao Yang, Xu Chen
HiMacMic: Hierarchical Multi-Agent Deep Reinforcement Learning with Dynamic Asynchronous Macro Strategy
Hancheng Zhang, Guozheng Li, Chi Harold Liu, Guoren Wang, Jian Tang
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks
Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline
Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan
HUGE: Huge Unsupervised Graph Embeddings with TPUs
Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi