Paper

  • On the Convergence Theory for Hessian-Free Bilevel Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Convergence Theory for Hessian-Free Bilevel Algorithms

    Kaiyi Ji, Yingbin Liang, Daouda Sow p4136-4149 from Advances in Neural Information Processing Systems 35
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  • On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms

    Lam Nguyen, Trang H. Tran p75545-75566 from Advances in Neural Information Processing Systems 36
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  • On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation

    Nan Jiang, Yuheng Zhang p124756-124790 from Advances in Neural Information Processing Systems 37
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  • On the Detrimental Effect of Invariances in the Likelihood for Variational Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Detrimental Effect of Invariances in the Likelihood for Variational Inference

    Jan Gasthaus, Ralf Herbrich, Tim Januschowski, Richard Kurle, Yuyang Bernie Wang p4531-4542 from Advances in Neural Information Processing Systems 35
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  • On the Difficulty of Learning Chaotic Dynamics with RNNs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Difficulty of Learning Chaotic Dynamics with RNNs

    Daniel Durstewitz, Jonas Mikhaeil, Zahra Monfared p11297-11312 from Advances in Neural Information Processing Systems 35
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  • On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs

    Kai-Wei Chang, Arjun Subramonian, Yizhou Sun p32957-32973 from Advances in Neural Information Processing Systems 35
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  • On the Double Descent of Random Features Models Trained with SGD

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Double Descent of Random Features Models Trained with SGD

    Volkan Cevher, Fanghui Liu, Johan Suykens p34966-34980 from Advances in Neural Information Processing Systems 35
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  • On the Effect of Pre-Training for Transformer in Different Modality on Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Effect of Pre-Training for Transformer in Different Modality on Offline Reinforcement Learning

    Shiro Takagi p30678-30692 from Advances in Neural Information Processing Systems 35
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  • On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias

    Jason Lee, Itay Safran, Gal Vardi p32667-32679 from Advances in Neural Information Processing Systems 35
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  • On the Effectiveness of Fine-Tuning Versus Meta-Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Effectiveness of Fine-Tuning Versus Meta-Reinforcement Learning

    Pieter Abbeel, Stephen James, Mandi Zhao p26519-26531 from Advances in Neural Information Processing Systems 35
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  • On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning

    Lorenzo Bonicelli, Matteo Boschini, Simone Calderara, Angelo Porrello, Concetto Spampinato p31886-31901 from Advances in Neural Information Processing Systems 35
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  • On the Effectiveness of Persistent Homology

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Effectiveness of Persistent Homology

    Guido Montufar, Nina Otter, Renata Turkes p35432-35448 from Advances in Neural Information Processing Systems 35
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