Papers
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
Xuhui Fan, Bin Li, Yaqiong Li et al.
Policy Analysis using Synthetic Controls in Continuous-Time
Alexis Bellot, Mihaela van der Schaar
Policy Caches with Successor Features
Mark Nemecek, Ronald Parr
Policy Gradient Bayesian Robust Optimization for Imitation Learning
Zaynah Javed, Daniel S Brown, Satvik Sharma et al.
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno et al.
Poolingformer: Long Document Modeling with Pooling Attention
Hang Zhang, Yeyun Gong, Yelong Shen et al.
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Zeke Xie, Li Yuan, Zhanxing Zhu et al.
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods
Chris Nota, Philip Thomas, Bruno C. Da Silva
Post-selection inference with HSIC-Lasso
Tobias Freidling, Benjamin Poignard, Héctor Climente-González et al.
Practical and Private (Deep) Learning Without Sampling or Shuffling
Peter Kairouz, Brendan Mcmahan, Shuang Song et al.
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
Mateusz Wilinski, Andrey Lokhov
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Yujia Bao, Shiyu Chang, Regina Barzilay
Preferential Temporal Difference Learning
Nishanth Anand, Doina Precup
Principal Bit Analysis: Autoencoding with Schur-Concave Loss
Sourbh Bhadane, Aaron B Wagner, Jayadev Acharya
Principal Component Hierarchy for Sparse Quadratic Programs
Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari et al.
Principled Exploration via Optimistic Bootstrapping and Backward Induction
Chenjia Bai, Lingxiao Wang, Lei Han et al.
Principled Simplicial Neural Networks for Trajectory Prediction
T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra
Prior Image-Constrained Reconstruction using Style-Based Generative Models
Varun A Kelkar, Mark Anastasio
Prioritized Level Replay
Minqi Jiang, Edward Grefenstette, Tim Rocktäschel
Privacy-Preserving Feature Selection with Secure Multiparty Computation
Xiling Li, Rafael Dowsley, Martine De Cock
Privacy-Preserving Video Classification with Convolutional Neural Networks
Sikha Pentyala, Rafael Dowsley, Martine De Cock
Private Adaptive Gradient Methods for Convex Optimization
Hilal Asi, John Duchi, Alireza Fallah et al.
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
Steve Chien, Prateek Jain, Walid Krichene et al.
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry
Hilal Asi, Vitaly Feldman, Tomer Koren et al.