Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Debiasing Conditional Stochastic Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiasing Conditional Stochastic Optimization

    Lie He, Shiva Kasiviswanathan p78846-78893 from Advances in Neural Information Processing Systems 36
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  • Debiasing Graph Neural Networks Via Learning Disentangled Causal Substructure

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiasing Graph Neural Networks Via Learning Disentangled Causal Substructure

    Shaohua Fan, Yanhu Mo, Chuan Shi, Jian Tang, Xiao Wang p24934-24946 from Advances in Neural Information Processing Systems 35
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  • Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes

    Emmanuel Agu, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Walter Gerych, Kevin Hickey, Elke A. Rundensteiner p45083-45101 from Advances in Neural Information Processing Systems 36
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  • Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation

    Donghoon Ahn, Susung Hong, Seungryong Kim p11970-11987 from Advances in Neural Information Processing Systems 36
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  • Debiasing Synthetic Data Generated by Deep Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiasing Synthetic Data Generated by Deep Generative Models

    Alexander Decruyenaere, Johan Decruyenaere, Heidelinde Dehaene, Thomas Demeester, Christiaan Polet, Paloma Rabaey, Stijn Vansteelandt p41539-41576 from Advances in Neural Information Processing Systems 37
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  • Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective

    Jin Song Dong, Yun Lin, Ruofan Liu, Xianglin Yang p7824-7837 from Advances in Neural Information Processing Systems 35
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  • Decentralized Gossip-Based Stochastic Bilevel Optimization Over Communication Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decentralized Gossip-Based Stochastic Bilevel Optimization Over Communication Networks

    Mengdi Wang, Shuoguang Yang, Xuezhou Zhang p238-252 from Advances in Neural Information Processing Systems 35
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  • Decentralized Local Stochastic Extra-Gradient for Variational Inequalities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decentralized Local Stochastic Extra-Gradient for Variational Inequalities

    Aleksandr Beznosikov, Pavel Dvurechenskii, Alexander Gasnikov, Anastasiia Koloskova, Valentin Samokhin, Sebastian Stich p38116-38133 from Advances in Neural Information Processing Systems 35
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  • Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence

    Marie Maros, Gesualdo Scutari p40154-40166 from Advances in Neural Information Processing Systems 36
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  • Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions

    Xuanyu Cao, Wenjing Yan p25592-25627 from Advances in Neural Information Processing Systems 37
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  • Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards

    Diego Klabjan, Mengfan Xu p74799-74855 from Advances in Neural Information Processing Systems 36
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  • Decentralized Training of Foundation Models in Heterogeneous Environments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decentralized Training of Foundation Models in Heterogeneous Environments

    Beidi Chen, Tri Dao, Jared Davis, Yongjun He, Percy Liang, Christopher Ré, Binhang Yuan, Ce Zhang, Tianyi Zhang p25464-25477 from Advances in Neural Information Processing Systems 35
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  • Decentralized, Communication- And Coordination-Free Learning in Structured Matching Markets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decentralized, Communication- And Coordination-Free Learning in Structured Matching Markets

    Chinmay Maheshwari, Eric Mazumdar, Shankar Sastry p15081-15092 from Advances in Neural Information Processing Systems 35
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  • Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning

    Dilip Arumugam, Benjamin Van Roy p9024-9044 from Advances in Neural Information Processing Systems 35
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  • Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

    Yuxuan Liang, Xu Liu, Kun Wang, Haomin Wen, Yutong Xia, Zhengyang Zhou, Roger Zimmermann p37068-37088 from Advances in Neural Information Processing Systems 36
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  • Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL

    Gongwei Chen, Xiang Deng, Qi Lv, Liqiang Nie, Michael Wang p22827-22849 from Advances in Neural Information Processing Systems 37
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  • Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling

    Hechang Chen, Jifeng Hu, Sili Huang, Tao Luo, Lichao Sun, Bo Yang, Liwei Yang, Zhejian Yang p72688-72709 from Advances in Neural Information Processing Systems 37
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  • Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models

    Aditya Grover, Siyan Zhao p80306-80323 from Advances in Neural Information Processing Systems 36
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  • Decision Tree for Locally Private Estimation with Public Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decision Tree for Locally Private Estimation with Public Data

    Yuchao Cai, Yuheng Ma, Hanfang Yang, Han Zhang p43676-43705 from Advances in Neural Information Processing Systems 36
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  • Decision Trees with Short Explainable Rules

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decision Trees with Short Explainable Rules

    Ferdinando Cicalese, Eduardo Laber, Marco Molinaro, Victor Feitosa Souza p12365-12379 from Advances in Neural Information Processing Systems 35
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  • Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees

    Reza Babanezhad Harikandeh, Amirreza Kazemi, Nicolas Le Roux, Sharan Vaswani p66451-66498 from Advances in Neural Information Processing Systems 36
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  • Decision-Based Black-Box Attack Against Vision Transformers Via Patch-Wise Adversarial Removal

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decision-Based Black-Box Attack Against Vision Transformers Via Patch-Wise Adversarial Removal

    Yahong Han, Xiaohui Kuang, Yucheng Shi, Yu-An Tan p12921-12933 from Advances in Neural Information Processing Systems 35
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  • Decision-Focused Learning with Directional Gradients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decision-Focused Learning with Directional Gradients

    Vishal Gupta, Michael Huang p79194-79220 from Advances in Neural Information Processing Systems 37
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  • Decision-Focused Learning Without Decision-Making: Learning Locally Optimized Decision Losses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decision-Focused Learning Without Decision-Making: Learning Locally Optimized Decision Losses

    Andrew Perrault, Sanket Shah, Milind Tambe, Kai Wang, Bryan Wilder p1320-1332 from Advances in Neural Information Processing Systems 35
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