Papers
Decentralized Online Convex Optimization in Networked Systems
Yiheng Lin, Judy Gan, Guannan Qu et al.
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
Malik Tiomoko, Ekkehard Schnoor, Mohamed El Amine Seddik et al.
Decision-Focused Learning: Through the Lens of Learning to Rank
Jayanta Mandi, Vı́ctor Bucarey, Maxime Mulamba Ke Tchomba et al.
Decomposing Temporal High-Order Interactions via Latent ODEs
Shibo Li, Robert Kirby, Shandian Zhe
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
Jiahui Li, Kun Kuang, Baoxiang Wang et al.
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Nikhil Kandpal, Eric Wallace, Colin Raffel
Deep and Flexible Graph Neural Architecture Search
Wentao Zhang, Zheyu Lin, Yu Shen et al.
Deep Causal Metric Learning
Xiang Deng, Zhongfei Zhang
Deep equilibrium networks are sensitive to initialization statistics
Atish Agarwala, Samuel S Schoenholz
Deep Hierarchy in Bandits
Joey Hong, Branislav Kveton, Sumeet Katariya et al.
Deep Network Approximation in Terms of Intrinsic Parameters
Zuowei Shen, Haizhao Yang, Shijun Zhang
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini et al.
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
Chang Liu, Chenfei Lou, Runzhong Wang et al.
Deep Probability Estimation
Sheng Liu, Aakash Kaku, Weicheng Zhu et al.
Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao, Rahul Ramesh, Pratik Chaudhari
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm
Huayi Tang, Yong Liu
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari, Conglong Li, Zhewei Yao et al.
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
Alan J.X. Guo, Cong Liang, Qing-Hu Hou
Deep symbolic regression for recurrence prediction
Stéphane D’Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample et al.
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
Wenchao Chen, Long Tian, Bo Chen et al.
Delay-Adaptive Step-sizes for Asynchronous Learning
Xuyang Wu, Sindri Magnusson, Hamid Reza Feyzmahdavian et al.
Delayed Reinforcement Learning by Imitation
Pierre Liotet, Davide Maran, Lorenzo Bisi et al.
Deletion Robust Submodular Maximization over Matroids
Paul Duetting, Federico Fusco, Silvio Lattanzi et al.
Demystifying the Adversarial Robustness of Random Transformation Defenses
Chawin Sitawarin, Zachary J Golan-Strieb, David Wagner
Denoised MDPs: Learning World Models Better Than the World Itself
Tongzhou Wang, Simon Du, Antonio Torralba et al.