Papers
Provable Bounds for Learning Some Deep Representations
Sanjeev Arora, Aditya Bhaskara, Rong Ge et al.
Provable Submodular Minimization using Wolfe's Algorithm
Deeparnab Chakrabarty, Prateek Jain, Pravesh Kothari
Provable Tensor Factorization with Missing Data
Prateek Jain, Sewoong Oh
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
Kai Zhong, Ian En-Hsu Yen, Inderjit S Dhillon et al.
Prune-and-Score: Learning for Greedy Coreference Resolution
Chao Ma, Janardhan Rao Doppa, J. Walker Orr et al.
Pseudoconvex Proximal Splitting for L-infty Problems in Multiview Geometry
Anders Eriksson, Mats Isaksson
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions
Ku-Chun Chou, Hsuan-Tien Lin, Chao-Kai Chiang et al.
Pulling Things out of Perspective
Lubor Ladicky, Jianbo Shi, Marc Pollefeys
Punctuation Processing for Projective Dependency Parsing
Ji Ma, Yue Zhang, Jingbo Zhu
Pursuit-Evasion Without Regret, with an Application to Trading
Lili Dworkin, Michael Kearns, Yuriy Nevmyvaka
Putting MRFs on a Tensor Train
Alexander Novikov, Anton Rodomanov, Anton Osokin et al.
Pydron: Semi-Automatic Parallelization for Multi-Core and the Cloud
Stefan C. Müller, Gustavo Alonso, Adam Amara et al.
2014
OSDI
Pyramid-based Visual Tracking Using Sparsity Represented Mean Transform
Zhe Zhang, Kin Hong Wong
pystruct - Learning Structured Prediction in Python
Andreas C. Müller, Sven Behnke
Quality Assessment for Comparing Image Enhancement Algorithms
Zhengying Chen, Tingting Jiang, Yonghong Tian
Quality-based Multimodal Classification using Tree-Structured Sparsity
Soheil Bahrampour, Asok Ray, Nasser M. Nasrabadi et al.
Quality Dynamic Human Body Modeling Using a Single Low-cost Depth Camera
Qing Zhang, Bo Fu, Mao Ye et al.
Quality Estimation for Automatic Speech Recognition
Matteo Negri, Marco Turchi, José G. C. de Souza et al.
Quality Estimation of English-French Machine Translation: A Detailed Study of the Role of Syntax
Rasoul Kaljahi, Jennifer Foster, Johann Roturier et al.
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
Yuancheng Zhu, John Lafferty
Quantized Kernel Learning for Feature Matching
Danfeng Qin, Xuanli Chen, Matthieu Guillaumin et al.
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Jiyan Yang, Vikas Sindhwani, Haim Avron et al.
Quasi Newton Temporal Difference Learning
Arash Givchi, Maziar Palhang
Quasi Real-Time Summarization for Consumer Videos
Bin Zhao, Eric P. Xing