Papers
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
Zhize Li, Hongyan Bao, Xiangliang Zhang et al.
PAPRIKA: Private Online False Discovery Rate Control
Wanrong Zhang, Gautam Kamath, Rachel Cummings
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
Vivek Jayaram, John Thickstun
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning
Tung-Che Liang, Jin Zhou, Yun-Sheng Chan et al.
Parallelizing Legendre Memory Unit Training
Narsimha Reddy Chilkuri, Chris Eliasmith
Parallel tempering on optimized paths
Saifuddin Syed, Vittorio Romaniello, Trevor Campbell et al.
Parameter-free Locally Accelerated Conditional Gradients
Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin et al.
Parameterless Transductive Feature Re-representation for Few-Shot Learning
Wentao Cui, Yuhong Guo
Parametric Graph for Unimodal Ranking Bandit
Camille-Sovanneary Gauthier, Romaric Gaudel, Elisa Fromont et al.
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd Huster, Jeremy Cohen, Zinan Lin et al.
Partially Observed Exchangeable Modeling
Yang Li, Junier Oliva
Path Planning using Neural A* Search
Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain et al.
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee, Laura M Smith, Pieter Abbeel
Perceiver: General Perception with Iterative Attention
Andrew Jaegle, Felix Gimeno, Andy Brock et al.
Permutation Weighting
David Arbour, Drew Dimmery, Arjun Sondhi
Personalized Federated Learning using Hypernetworks
Aviv Shamsian, Aviv Navon, Ethan Fetaya et al.
Phasic Policy Gradient
Karl W Cobbe, Jacob Hilton, Oleg Klimov et al.
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
Shreyas Malakarjun Patil, Constantine Dovrolis
PID Accelerated Value Iteration Algorithm
Amir-Massoud Farahmand, Mohammad Ghavamzadeh
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models
Chaoyang He, Shen Li, Mahdi Soltanolkotabi et al.
PixelTransformer: Sample Conditioned Signal Generation
Shubham Tulsiani, Abhinav Gupta
PODS: Policy Optimization via Differentiable Simulation
Miguel Angel Zamora Mora, Momchil Peychev, Sehoon Ha et al.
Pointwise Binary Classification with Pairwise Confidence Comparisons
Lei Feng, Senlin Shu, Nan Lu et al.