| 2023 | Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting. | Christine Herlihy, Aviva Prins, Aravind Srinivasan, John P. Dickerson |
| 2023 | Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. | Shuo He, Lei Feng, Guowu Yang |
| 2023 | Identifying Complicated Contagion Scenarios from Cascade Data. | Galen Harrison, Amro Alabsi Aljundi, Jiangzhuo Chen, S. S. Ravi, Anil Kumar S. Vullikanti, Madhav V. Marathe, Abhijin Adiga |
| 2023 | GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning. | Qianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li |
| 2023 | Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning. | Xiao Han, Xiangyu Zhao, Liang Zhang, Wanyu Wang |
| 2023 | Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. | Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang |
| 2023 | Detecting Interference in Online Controlled Experiments with Increasing Allocation. | Kevin Han, Shuangning Li, Jialiang Mao, Han Wu |
| 2023 | iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation. | Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong |
| 2023 | Efficient Continuous Space Policy Optimization for High-frequency Trading. | Li Han, Nan Ding, Guoxuan Wang, Dawei Cheng, Yuqi Liang |
| 2023 | An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation. | Stephen Hahn, Rico Zhu, Simon Mak, Cynthia Rudin, Yue Jiang |
| 2023 | ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation. | Siyi Gu, Yifei Zhang, Yuyang Gao, Xiaofeng Yang, Liang Zhao |
| 2023 | 3D-Polishing for Triangular Mesh Compression of Point Cloud Data. | Jiaqi Gu, Guosheng Yin |
| 2023 | Frigate: Frugal Spatio-temporal Forecasting on Road Networks. | Mridul Gupta, Hariprasad Kodamana, Sayan Ranu |
| 2023 | Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. | Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta |
| 2023 | Towards Equitable Assignment: Data-Driven Delivery Zone Partition at Last-mile Logistics. | Baoshen Guo, Shuai Wang, Haotian Wang, Yunhuai Liu, Fanshuo Kong, Desheng Zhang, Tian He |
| 2023 | Clenshaw Graph Neural Networks. | Yuhe Guo, Zhewei Wei |
| 2023 | CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. | Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav |
| 2023 | SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch. | Jiarui Guo, Yisen Hong, Yuhan Wu, Yunfei Liu, Tong Yang, Bin Cui |
| 2023 | On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. | Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang |
| 2023 | CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution. | Yuxiang Guo, Lu Chen, Zhengjie Zhou, Baihua Zheng, Ziquan Fang, Zhikun Zhang, Yuren Mao, Yunjun Gao |
| 2023 | A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability. | Yuxin Guo, Cheng Yang, Yuluo Chen, Jixi Liu, Chuan Shi, Junping Du |
| 2023 | Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library. | Mathieu Guillame-Bert, Sebastian Bruch, Richard Stotz, Jan Pfeifer |
| 2023 | Sparse Binary Transformers for Multivariate Time Series Modeling. | Matt Gorbett, Hossein Shirazi, Indrakshi Ray |
| 2023 | Causal Discovery from Temporal Data. | Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang |
| 2023 | Evaluating Recommendation Systems Using the Power of Embeddings. | Jonathan Gomes-Selman, Robert Friel, Bogdan Gheorghe, Derek Austin, Atindriyo Sanyal |