Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • On the Convergence of CART under Sufficient Impurity Decrease Condition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Convergence of CART under Sufficient Impurity Decrease Condition

    Rahul Mazumder, Haoyue Wang p57754-57782 from Advances in Neural Information Processing Systems 36
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  • On the Convergence of Encoder-only Shallow Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Convergence of Encoder-only Shallow Transformers

    Volkan Cevher, Grigorios Chrysos, Fanghui Liu, Yongtao Wu p52197-52237 from Advances in Neural Information Processing Systems 36
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  • On the Convergence of Loss and Uncertainty-based Active Learning Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Convergence of Loss and Uncertainty-based Active Learning Algorithms

    Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnović p122770-122810 from Advances in Neural Information Processing Systems 37
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  • On the Convergence of No-Regret Learning Dynamics in Time-Varying Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Convergence of No-Regret Learning Dynamics in Time-Varying Games

    Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm p16367-16405 from Advances in Neural Information Processing Systems 36
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  • On the Convergence of Policy Gradient Methods to Nash Equilibria in General Stochastic Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Convergence of Policy Gradient Methods to Nash Equilibria in General Stochastic Games

    Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil-Vasileios Vlatakis-Gkaragkounis p7128-7141 from Advances in Neural Information Processing Systems 35
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  • On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond

    Jinjie Gu, Jiyan Jiang, Wenpeng Zhang, Wenliang Zhong, Shiji Zhou, Wenwu Zhu p38103-38115 from Advances in Neural Information Processing Systems 35
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  • 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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  • On the Effects of Data Scale on UI Control Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Effects of Data Scale on UI Control Agents

    William Bishop, Folawiyo Campbell-Ajala, Alice Li, Wei Li, Chris Rawles, Oriana Riva, Divya Tyamagundlu p92130-92154 from Advances in Neural Information Processing Systems 37
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  • On the Efficiency of ERM in Feature Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Efficiency of ERM in Feature Learning

    Murat Erdogdu, Ayoub Hanchi, Chris Maddison p98596-98624 from Advances in Neural Information Processing Systems 37
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  • On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood

    Moses Charikar, Zhihao Jiang, Kirankumar Shiragur, Aaron Sidford p6478-6491 from Advances in Neural Information Processing Systems 35
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  • On the Epistemic Limits of Personalized Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Epistemic Limits of Personalized Prediction

    Flavio Calmon, Carol Long, Lucas Monteiro Paes, Berk Ustun p1979-1991 from Advances in Neural Information Processing Systems 35
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  • On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective

    Louis Béthune, Thibaut Boissin, Thomas Fel, Franck Mamalet, Mathieu Serrurier p54645-54682 from Advances in Neural Information Processing Systems 36
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  • On the Exploitability of Instruction Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Exploitability of Instruction Tuning

    Jonas Geiping, Tom Goldstein, Manli Shu, Jiongxiao Wang, Chaowei Xiao, Chen Zhu p61836-61856 from Advances in Neural Information Processing Systems 36
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