Papers
Partitioning Structure Learning for Segmented Linear Regression Trees
Xiangyu Zheng, Song Xi Chen
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph
Yikang LI, Tao Ma, Yeqi Bai et al.
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Yongkai Wu, Lu Zhang, Xintao Wu et al.
Perceiving the arrow of time in autoregressive motion
Kristof Meding, Dominik Janzing, Bernhard Schölkopf et al.
Personalizing Many Decisions with High-Dimensional Covariates
Nima Hamidi, Mohsen Bayati, Kapil Gupta
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points
Siyuan Huang, Yixin Chen, Tao Yuan et al.
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments
David Novotny, Ben Graham, Jeremy Reizenstein
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints
David Simchi-Levi, Yunzong Xu
PHYRE: A New Benchmark for Physical Reasoning
Anton Bakhtin, Laurens van der Maaten, Justin Johnson et al.
PIDForest: Anomaly Detection via Partial Identification
Parikshit Gopalan, Vatsal Sharan, Udi Wieder
Piecewise Strong Convexity of Neural Networks
Tristan Milne
Planning in entropy-regularized Markov decision processes and games
Jean-Bastien Grill, Omar Darwiche Domingues, Pierre Menard et al.
Planning with Goal-Conditioned Policies
Soroush Nasiriany, Vitchyr Pong, Steven Lin et al.
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
Can Qin, Haoxuan You, Lichen Wang et al.
Point-Voxel CNN for Efficient 3D Deep Learning
Zhijian Liu, Haotian Tang, Yujun Lin et al.
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
Ruqi Zhang, Christopher M De Sa
Poisson-Randomized Gamma Dynamical Systems
Aaron Schein, Scott Linderman, Mingyuan Zhou et al.
Policy Continuation with Hindsight Inverse Dynamics
Hao Sun, Zhizhong Li, Xiaotong Liu et al.
Policy Evaluation with Latent Confounders via Optimal Balance
Andrew Bennett, Nathan Kallus
Policy Learning for Fairness in Ranking
Ashudeep Singh, Thorsten Joachims
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
Kaiqing Zhang, Zhuoran Yang, Tamer Basar
Policy Poisoning in Batch Reinforcement Learning and Control
Yuzhe Ma, Xuezhou Zhang, Wen Sun et al.
Positional Normalization
Boyi Li, Felix Wu, Kilian Q. Weinberger et al.