Paper

  • A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes

    Tong Zhang, Han Zhong p73666-73690 from Advances in Neural Information Processing Systems 36
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  • A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

    David Belius, Tin Sum Cheng, Ivan Dokmanic, Anastasis Kratsios, Aurelien Lucchi p4767-4798 from Advances in Neural Information Processing Systems 36
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  • A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning

    Zachary Lipton, Tom Yan p27295-27339 from Advances in Neural Information Processing Systems 37
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  • A theoretical design of concept sets: improving the predictability of concept bottleneck models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A theoretical design of concept sets: improving the predictability of concept bottleneck models

    Max Ruiz Luyten, Mihaela van der Schaar p100160-100195 from Advances in Neural Information Processing Systems 37
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  • A Theoretical Framework for Inference Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Framework for Inference Learning

    Nick Alonso, Jeffrey Krichmar, Beren Millidge, Emre O Neftci p37335-37348 from Advances in Neural Information Processing Systems 35
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  • A Theoretical Perspective for Speculative Decoding Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Perspective for Speculative Decoding Algorithm

    Minshuo Chen, Kaixuan Huang, Mengdi Wang, Ming Yin p128082-128117 from Advances in Neural Information Processing Systems 37
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  • A Theoretical Study on Solving Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Study on Solving Continual Learning

    Zixuan Ke, Gyuhak Kim, Tatsuya Konishi, Bing Liu, Changnan Xiao p5065-5079 from Advances in Neural Information Processing Systems 35
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  • A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning

    Xidong Feng, Bo Liu, Luo Mai, Jie Ren, Jun Wang, Yaodong Yang, Haifeng Zhang, Rui Zhu p31059-31072 from Advances in Neural Information Processing Systems 35
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  • A Theoretical Understanding of Self-Correction through In-context Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical Understanding of Self-Correction through In-context Alignment

    Yisen Wang, Stefanie Jegelka, Yifei Wang, Zeming Wei, Yuyang Wu p89869-89912 from Advances in Neural Information Processing Systems 37
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  • A Theoretical View on Sparsely Activated Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theoretical View on Sparsely Activated Networks

    Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang p30071-30084 from Advances in Neural Information Processing Systems 35
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  • A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs

    Pablo Barceló, Ismail Ceylan, Xingyue Huang, Miguel Romero p19714-19748 from Advances in Neural Information Processing Systems 36
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  • A Theory of Multimodal Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Theory of Multimodal Learning

    Zhou Lu p57244-57255 from Advances in Neural Information Processing Systems 36
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