Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Regularization properties of adversarially-trained linear regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Regularization properties of adversarially-trained linear regression

    Francis Bach, Antonio Ribeiro, Thomas Schön, Dave Zachariah p23658-23670 from Advances in Neural Information Processing Systems 36
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  • Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network

    Zih-Syuan Huang, Ching-pei Lee p128489-128515 from Advances in Neural Information Processing Systems 37
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  • Regularized Behavior Cloning for Blocking the Leakage of Past Action Information

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Regularized Behavior Cloning for Blocking the Leakage of Past Action Information

    Hyeongjoo Hwang, Kee-Eung Kim, Seokin Seo, Hongseok Yang p2128-2153 from Advances in Neural Information Processing Systems 36
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  • Regularized Conditional Diffusion Model for Multi-Task Preference Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Regularized Conditional Diffusion Model for Multi-Task Preference Alignment

    Chenjia Bai, Haoran He, Xuelong Li, Changhong Wang, Xudong Yu p139968-139996 from Advances in Neural Information Processing Systems 37
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  • Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games

    Thinh Doan, Justin Romberg, Sihan Zeng p34546-34558 from Advances in Neural Information Processing Systems 35
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  • Regularized Molecular Conformation Fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Regularized Molecular Conformation Fields

    Xuanjing Huang, Lihao Wang, Yiqun Wang, Xiaoqing Zheng, Hao Zhou, Yi Zhou p18929-18941 from Advances in Neural Information Processing Systems 35
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  • Regularized Q-Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Regularized Q-Learning

    Donghwan Lee, Han-Dong Lim p129855-129887 from Advances in Neural Information Processing Systems 37
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  • Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs

    Ruomeng Ding, Yong Lin, Rui Yang, Huan Zhang, Tong Zhang p62279-62309 from Advances in Neural Information Processing Systems 37
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  • Regularizing Neural Networks with Meta-Learning Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Regularizing Neural Networks with Meta-Learning Generative Models

    Daiki Chijiwa, Sekitoshi Kanai, Hisashi Kashima, Atsutoshi Kumagai, Shin'Ya Yamaguchi p27315-27331 from Advances in Neural Information Processing Systems 36
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  • Rehearsal Learning for Avoiding Undesired Future

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Rehearsal Learning for Avoiding Undesired Future

    Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou p80517-80542 from Advances in Neural Information Processing Systems 36
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  • ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence

    Ben Dai, Yixuan Qiu p14366-14386 from Advances in Neural Information Processing Systems 36
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  • Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference

    Yiran Chen, Lin Duan, Maria Gorlatova, Jinyuan Jia, Jingwei Sun p44479-44500 from Advances in Neural Information Processing Systems 37
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  • Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark

    Lasse Hansen, Andrija Petrovic, Nabeel Seedat, Mihaela Van Der Schaar p33781-33823 from Advances in Neural Information Processing Systems 36
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  • Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress

    Rishabh Agarwal, Marc Bellemare, Pablo Samuel Castro, Aaron Courville, Max Schwarzer p28955-28971 from Advances in Neural Information Processing Systems 35
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  • Reinforced Cross-Domain Knowledge Distillation on Time Series Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reinforced Cross-Domain Knowledge Distillation on Time Series Data

    Zhenghua Chen, Xiaoli Li, Kezhi Mao, Min Wu, Qing Xu p47217-47241 from Advances in Neural Information Processing Systems 37
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  • Reinforced Genetic Algorithm for Structure-Based Drug Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reinforced Genetic Algorithm for Structure-Based Drug Design

    Connor Coley, Tianfan Fu, Wenhao Gao, Jimeng Sun p12325-12338 from Advances in Neural Information Processing Systems 35
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  • Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers

    Alexander Schwing, Yu-Xiong Wang, Kai Yan p38590-38628 from Advances in Neural Information Processing Systems 37
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  • Reinforcement Learning Guided Semi-Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reinforcement Learning Guided Semi-Supervised Learning

    Yuhong Guo, Marzi Heidari, Hanping Zhang p136990-137009 from Advances in Neural Information Processing Systems 37
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  • Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space

    Jonatha Anselmi, Bruno Gaujal, Louis-Sébastien Rebuffi p14464-14474 from Advances in Neural Information Processing Systems 35
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  • Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

    Ruo-Tong Chen, Shixiong Kai, Xi Lin, Chao Qian, Yunqi Shi, Siyuan Xu, Ke Xue p140565-140588 from Advances in Neural Information Processing Systems 37
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  • Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity

    Philip Amortila, Dylan Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi p133007-133091 from Advances in Neural Information Processing Systems 37
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  • Reinforcement Learning with a Terminator

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reinforcement Learning with a Terminator

    Gal Chechik, Gal Dalal, Assaf Hallak, Shie Mannor, Nadav Merlis, Uri Shalit, Lior Shani, Guy Tennenholtz p35696-35709 from Advances in Neural Information Processing Systems 35
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  • Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems

    Pietro Ferraro, Homayoun Hamedmoghadam, Robert Shorten, Haozhe Tian p2528-2557 from Advances in Neural Information Processing Systems 37
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  • Reinforcement Learning with Automated Auxiliary Loss Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reinforcement Learning with Automated Auxiliary Loss Search

    Tairan He, Dongsheng Li, Minghuan Liu, Kan Ren, Che Wang, Yuqing Yang, Weinan Zhang, Yuge Zhang p1820-1834 from Advances in Neural Information Processing Systems 35
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