Papers
SAGA with Arbitrary Sampling
Xun Qian, Zheng Qu, Peter Richtárik
Hiring Under Uncertainty
Manish Purohit, Sreenivas Gollapudi, Manish Raghavan
On Variational Bounds of Mutual Information
Ben Poole, Sherjil Ozair, Aaron Van Den Oord et al.
Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration
Vladislav Polianskii, Florian T. Pokorny
Temporal Gaussian Mixture Layer for Videos
Aj Piergiovanni, Michael Ryoo
Towards Understanding Knowledge Distillation
Mary Phuong, Christoph Lampert
Cognitive model priors for predicting human decisions
David D. Bourgin, Joshua C. Peterson, Daniel Reichman et al.
Exploiting structure of uncertainty for efficient matroid semi-bandits
Pierre Perrault, Vianney Perchet, Michal Valko
Collaborative Channel Pruning for Deep Networks
Hanyu Peng, Jiaxiang Wu, Shifeng Chen et al.
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng, Zijun Huang, Ximeng Sun et al.
COMIC: Multi-view Clustering Without Parameter Selection
Xi Peng, Zhenyu Huang, Jiancheng Lv et al.
Fingerprint Policy Optimisation for Robust Reinforcement Learning
Supratik Paul, Michael A. Osborne, Shimon Whiteson
Subspace Robust Wasserstein Distances
François-Pierre Paty, Marco Cuturi
Self-Supervised Exploration via Disagreement
Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta
Spectral Approximate Inference
Sejun Park, Eunho Yang, Se-Young Yun et al.
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study
Daniel Park, Jascha Sohl-Dickstein, Quoc Le et al.
Variational Laplace Autoencoders
Yookoon Park, Chris Kim, Gunhee Kim
Generalized Majorization-Minimization
Sobhan Naderi Parizi, Kun He, Reza Aghajani et al.
Deep Residual Output Layers for Neural Language Generation
Nikolaos Pappas, James Henderson
Optimistic Policy Optimization via Multiple Importance Sampling
Matteo Papini, Alberto Maria Metelli, Lorenzo Lupo et al.
Nonparametric Bayesian Deep Networks with Local Competition
Konstantinos Panousis, Sotirios Chatzis, Sergios Theodoridis
Improving Adversarial Robustness via Promoting Ensemble Diversity
Tianyu Pang, Kun Xu, Chao Du et al.
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always
Ioannis Panageas, Georgios Piliouras, Xiao Wang
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
Samet Oymak, Mahdi Soltanolkotabi