| 2025 | Approximation algorithms for combinatorial optimization with predictions. | Antonios Antoniadis, Marek Elis, Adam Polak, Moritz Venzin |
| 2025 | Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models. | Haotian Wang, Haoxuan Li, Hao Zou, Haoang Chi, Long Lan, Wanrong Huang, Wenjing Yang |
| 2025 | Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory. | Alexander Levine, Peter Stone, Amy Zhang |
| 2025 | Efficient Inference for Large Language Model-based Generative Recommendation. | Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua |
| 2024 | Symmetric Single Index Learning. | Aaron Zweig, Joan Bruna |
| 2024 | Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. | Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong |
| 2024 | A Multi-Level Framework for Accelerating Training Transformer Models. | Longwei Zou, Han Zhang, Yangdong Deng |
| 2024 | Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. | Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu |
| 2024 | VFLAIR: A Research Library and Benchmark for Vertical Federated Learning. | Tianyuan Zou, Zixuan Gu, Yu He, Hideaki Takahashi, Yang Liu, Ya-Qin Zhang |
| 2024 | Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models. | Thomas P. Zollo, Todd Morrill, Zhun Deng, Jake Snell, Toniann Pitassi, Richard S. Zemel |
| 2024 | Masked Audio Generation using a Single Non-Autoregressive Transformer. | Alon Ziv, Itai Gat, Gal Le Lan, Tal Remez, Felix Kreuk, Jade Copet, Alexandre Dfossez, Gabriel Synnaeve, Yossi Adi |
| 2024 | Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging. | Max Zimmer, Christoph Spiegel, Sebastian Pokutta |
| 2024 | VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. | Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu |
| 2024 | HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance. | Junzhe Zhu, Peiye Zhuang, Sanmi Koyejo |
| 2024 | Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. | Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao |
| 2024 | Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. | Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu |
| 2024 | Partitioning Message Passing for Graph Fraud Detection. | Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen |
| 2024 | LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment. | Bin Zhu, Bin Lin, Munan Ning, Yang Yan, Jiaxi Cui, Hongfa Wang, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, Caiwan Zhang, Zhifeng Li, Wei Liu, Li Yuan |
| 2024 | On Representation Complexity of Model-based and Model-free Reinforcement Learning. | Hanlin Zhu, Baihe Huang, Stuart Russell |
| 2024 | Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model. | Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang |
| 2024 | Online Stabilization of Spiking Neural Networks. | Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu |
| 2024 | AttEXplore: Attribution for Explanation with model parameters eXploration. | Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim |
| 2024 | DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. | Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie |
| 2024 | Gradual Domain Adaptation via Gradient Flow. | Zhan Zhuang, Yu Zhang, Ying Wei |
| 2024 | Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. | Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan |