Papers
8,340 papers found
Nonparametric Extensions of Randomized Response for Private Confidence Sets
Ian Waudby-Smith, Steven Wu, Aaditya Ramdas
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
Chao Du, Tianbo Li, Tianyu Pang et al.
Nonparametric Iterative Machine Teaching
Chen Zhang, Xiaofeng Cao, Weiyang Liu et al.
Non-stationary Reinforcement Learning under General Function Approximation
Songtao Feng, Ming Yin, Ruiquan Huang et al.
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation
Feilong Zhang, Xianming Liu, Shiyi Lin et al.
Normalizing Flows for Interventional Density Estimation
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan et al.
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
Jianfeng Wang, Daniela Massiceti, Xiaolin Hu et al.
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
Tianxin Wei, Zeming Guo, Yifan Chen et al.
Nugget: Neural Agglomerative Embeddings of Text
Guanghui Qin, Benjamin Van Durme
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
Songming Liu, Zhongkai Hao, Chengyang Ying et al.
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Lutati, Lior Wolf
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia et al.
Offline Learning in Markov Games with General Function Approximation
Yuheng Zhang, Yu Bai, Nan Jiang
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
Jianhao Wang, Jin Zhang, Haozhe Jiang et al.
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
Jiachen Li, Edwin Zhang, Ming Yin et al.
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search
Naman Saxena, Subhojyoti Khastagir, Shishir Kolathaya et al.
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
Yuta Saito, Qingyang Ren, Thorsten Joachims
Omnipredictors for Constrained Optimization
Lunjia Hu, Inbal Rachel Livni Navon, Omer Reingold et al.
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
Enshu Liu, Xuefei Ning, Zinan Lin et al.
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
Maohao Shen, Yuheng Bu, Gregory W. Wornell
On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization
Amir Joudaki, Hadi Daneshmand, Francis Bach
On Computing Optimal Tree Ensembles
Christian Komusiewicz, Pascal Kunz, Frank Sommer et al.
On Coresets for Clustering in Small Dimensional Euclidean spaces
Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang et al.