Papers
PointGPT: Auto-regressively Generative Pre-training from Point Clouds
Guangyan Chen, Meiling Wang, Yi Yang et al.
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
Ruiqi Zhang, Andrea Zanette
Policy Gradient for Rectangular Robust Markov Decision Processes
Navdeep Kumar, Esther Derman, Matthieu Geist et al.
Policy Optimization for Continuous Reinforcement Learning
HANYANG ZHAO, Wenpin Tang, David Yao
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control
Nate Rahn, Pierluca D'Oro, Harley Wiltzer et al.
Policy Space Diversity for Non-Transitive Games
Jian Yao, Weiming Liu, Haobo Fu et al.
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
Jiacheng Chen, Ruizhi Deng, Yasutaka Furukawa
Polyhedron Attention Module: Learning Adaptive-order Interactions
Tan Zhu, Fei Dou, Xinyu Wang et al.
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets
Arthur da Cunha, Francesco D'Amore, Natale
Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games
Gabriele Farina, Charilaos Pipis
POMDP Planning for Object Search in Partially Unknown Environment
Yongbo Chen, Hanna Kurniawati
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
Antonin Vobecky, Oriane Siméoni, David Hurych et al.
PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones
Thad Starner, Sean Forbes, Matthew So et al.
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
Paul Rosa, Slava Borovitskiy, Alexander Terenin et al.
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation
Shuang Qiu, Ziyu Dai, Han Zhong et al.
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
Nikki Lijing Kuang, Ming Yin, Mengdi Wang et al.
Post Hoc Explanations of Language Models Can Improve Language Models
Satyapriya Krishna, Jiaqi Ma, Dylan Slack et al.
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release
Abhishek Singh, Praneeth Vepakomma, Vivek Sharma et al.
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
Hao Wang, Shivchander Sudalairaj, John Henning et al.
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
Zhizhang Yuan, Daoze Zhang, YANG YANG et al.
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Luhuan Wu, Brian Trippe, Christian Naesseth et al.
Practical Contextual Bandits with Feedback Graphs
Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou et al.
Practical Differentially Private Hyperparameter Tuning with Subsampling
Antti Koskela, Tejas D Kulkarni
Practical Equivariances via Relational Conditional Neural Processes
Daolang Huang, Manuel Haussmann, Ulpu Remes et al.