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

    Brian Zhang, Tuomas Sandholm 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 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

    Antonin Vobecky, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic 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, Chicheng Zhang, Kwang-Sung Jun 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

    Thad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Bill Neubauer, Sofia Vempala, Alec Tan, Jocelyn Heath, Unnathi Kumar, 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

    Maximilian Herde, Bogdan Raonic, Tobias Rohner, Roger Käppeli, Roberto Molinaro, Emmanuel De Bézenac, Siddhartha Mishra 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

    Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi, Srinadh Bhojanapalli, 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

    Jonathan Wilton, Abigail Koay, Ryan Ko, 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, Harald Oberhauser, Terry Lyons 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

    Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju 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

    Harikrishna Narasimhan, Wittawat Jitkrittum, Aditya Menon, Ankit Rawat, Sanjiv Kumar 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?

    Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary Lipton 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

    Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan Greenewald, Akash Srivastava 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

    Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John Cunningham 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

    Paul Rosa, Slava Borovitskiy, Alexander Terenin, Judith Rousseau 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

    Ryan Strauss, Junier B Oliva 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

    Agustinus Kristiadi, Runa Eschenhagen, Philipp Hennig 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

    Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang 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, Ming Yin, Mengdi Wang, Yu-Xiang Wang, Yian Ma p6782-6824 from Advances in Neural Information Processing Systems 36
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