Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games

    Gabriele Farina, Charilaos Pipis p4207-4234 from Advances in Neural Information Processing Systems 37
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  • Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games

    Gabriele Farina, Charilaos Pipis p28255-28280 from Advances in Neural Information Processing Systems 36
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  • Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games

    Tuomas Sandholm, Brian Zhang p24851-24863 from Advances in Neural Information Processing Systems 35
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  • Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets

    Arthur Da Cunha, Francesco D'Amore, Natale p25929-25957 from Advances in Neural Information Processing Systems 36
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  • POMDP Planning for Object Search in Partially Unknown Environment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    POMDP Planning for Object Search in Partially Unknown Environment

    Yongbo Chen, Hanna Kurniawati p53146-53157 from Advances in Neural Information Processing Systems 36
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  • POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images

    Andrei Bursuc, Spyridon Gidaris, David Hurych, Patrick Pérez, Oriane Siméoni, Josef Sivic, Antonin Vobecky p50545-50557 from Advances in Neural Information Processing Systems 36
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  • PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits

    Kyoungseok Jang, Kwang-Sung Jun, Chicheng Zhang p2102-2114 from Advances in Neural Information Processing Systems 35
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  • PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones

    Khushi Bhardwaj, Glenn Cameron, Christopher Cui, Sohier Dane, Gururaj Deshpande, Sean Forbes, Tavenner Hall, Saad Hassan, Jocelyn Heath, Unnathi Kumar, Tyler Kwok, David Martin, Priyanka Mosur, Bill Neubauer, Daksh Sehgal, Sam Sepah, et al. p184-196 from Advances in Neural Information Processing Systems 36
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  • Poseidon: Efficient Foundation Models for PDEs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Poseidon: Efficient Foundation Models for PDEs

    Emmanuel de Bézenac, Maximilian Herde, Roger Käppeli, Siddhartha Mishra, Roberto Molinaro, Bogdan Raonić, Tobias Rohner p72525-72624 from Advances in Neural Information Processing Systems 37
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  • Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

    Pranjal Awasthi, Srinadh Bhojanapalli, Jaeyoung Cha, Hanseul Cho, Anupam Gupta, Chulhee Yun p22233-22315 from Advances in Neural Information Processing Systems 37
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  • Positive-Unlabeled Learning Using Random Forests Via Recursive Greedy Risk Minimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Positive-Unlabeled Learning Using Random Forests Via Recursive Greedy Risk Minimization

    Ryan Ko, Abigail Koay, Jonathan Wilton, Miao Xu, Nan Ye p24060-24071 from Advances in Neural Information Processing Systems 35
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  • Positively Weighted Kernel Quadrature Via Subsampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Positively Weighted Kernel Quadrature Via Subsampling

    Satoshi Hayakawa, Terry Lyons, Harald Oberhauser p6886-6900 from Advances in Neural Information Processing Systems 35
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  • Post Hoc Explanations of Language Models Can Improve Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Post Hoc Explanations of Language Models Can Improve Language Models

    Asma Ghandeharioun, Satyapriya Krishna, Himabindu Lakkaraju, Jiaqi Ma, Sameer Singh, Dylan Slack p65468-65483 from Advances in Neural Information Processing Systems 36
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  • Post-Hoc Estimators for Learning to Defer to an Expert

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Post-Hoc Estimators for Learning to Defer to an Expert

    Wittawat Jitkrittum, Sanjiv Kumar, Aditya Menon, Harikrishna Narasimhan, Ankit Rawat p29292-29304 from Advances in Neural Information Processing Systems 35
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  • Post-Hoc Reversal: Are We Selecting Models Prematurely?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Post-Hoc Reversal: Are We Selecting Models Prematurely?

    Saurabh Garg, Carlos Guestrin, Zachary Lipton, Mrigank Raman, Rishabh Ranjan p91460-91491 from Advances in Neural Information Processing Systems 37
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  • Post-processing Private Synthetic Data for Improving Utility on Selected Measures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Post-processing Private Synthetic Data for Improving Utility on Selected Measures

    Kristjan Greenewald, John Henning, Akash Srivastava, Shivchander Sudalairaj, Hao Wang p64139-64154 from Advances in Neural Information Processing Systems 36
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  • Posted Pricing and Dynamic Prior-Independent Mechanisms with Value Maximizers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Posted Pricing and Dynamic Prior-Independent Mechanisms with Value Maximizers

    Yuan Deng, Vahab Mirrokni, Hanrui Zhang p24158-24169 from Advances in Neural Information Processing Systems 35
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  • Posterior and Computational Uncertainty in Gaussian Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Posterior and Computational Uncertainty in Gaussian Processes

    John Cunningham, Philipp Hennig, Marvin Pförtner, Geoff Pleiss, Jonathan Wenger p10876-10890 from Advances in Neural Information Processing Systems 35
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  • Posterior Collapse of a Linear Latent Variable Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Posterior Collapse of a Linear Latent Variable Model

    Zihao Wang, Liu Ziyin p37537-37548 from Advances in Neural Information Processing Systems 35
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  • Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds

    Slava Borovitskiy, Paul Rosa, Judith Rousseau, Alexander Terenin p34087-34121 from Advances in Neural Information Processing Systems 36
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  • Posterior Matching for Arbitrary Conditioning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Posterior Matching for Arbitrary Conditioning

    Junier B Oliva, Ryan Strauss p18088-18099 from Advances in Neural Information Processing Systems 35
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  • Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks

    Runa Eschenhagen, Philipp Hennig, Agustinus Kristiadi p30333-30346 from Advances in Neural Information Processing Systems 35
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  • Posterior Sampling for Competitive RL: Function Approximation and Partial Observation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Posterior Sampling for Competitive RL: Function Approximation and Partial Observation

    Ziyu Dai, Shuang Qiu, Zhaoran Wang, Zhuoran Yang, Tong Zhang, Han Zhong p26585-26637 from Advances in Neural Information Processing Systems 36
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  • Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation

    Nikki Lijing Kuang, Yian Ma, Mengdi Wang, Yu-Xiang Wang, Ming Yin p6782-6824 from Advances in Neural Information Processing Systems 36
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