Papers
Provable Algorithms for Inference in Topic Models
Sanjeev Arora, Rong Ge, Frederic Koehler et al.
Provable Bayesian Inference via Particle Mirror Descent
Bo Dai, Niao He, Hanjun Dai et al.
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent
Chi Jin, Sham M. Kakade, Praneeth Netrapalli
Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow
Huishuai Zhang, Yuejie Chi, Yingbin Liang
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models
Hanie Sedghi, Majid Janzamin, Anima Anandkumar
Provably manipulation-resistant reputation systems
Paul Christiano
Proximal Deep Structured Models
Shenlong Wang, Sanja Fidler, Raquel Urtasun
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization
Mingkui Tan, Shijie Xiao, Junbin Gao et al.
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos et al.
Pruning Random Forests for Prediction on a Budget
Feng Nan, Joseph Wang, Venkatesh Saligrama
Pseudo-Marginal Slice Sampling
Iain Murray, Matthew Graham
PSyCo: Manifold Span Reduction for Super Resolution
Eduardo Perez-Pellitero, Jordi Salvador, Javier Ruiz-Hidalgo et al.
Pull the Plug? Predicting If Computers or Humans Should Segment Images
Danna Gurari, Suyog Jain, Margrit Betke et al.
Pure Exploration of Multi-armed Bandit Under Matroid Constraints
Lijie Chen, Anupam Gupta, Jian Li
Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI
Daniel Povey, Vijayaditya Peddinti, Daniel Galvez et al.
Push-Button Verification of File Systems via Crash Refinement
Helgi Sigurbjarnarson, James Bornholt, Emina Torlak et al.
Putting German [ʃ] and [ç] in Two Different Boxes: Native German vs L2 German of French Learners
Jane Wottawa, Martine Adda-Decker, Frédéric Isel
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
James Townsend, Niklas Koep, Sebastian Weichwald
Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods
Huikang Liu, Weijie Wu, Anthony Man-Cho So
Quality Estimation for Language Output Applications
Carolina Scarton, Gustavo Paetzold, Lucia Specia
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests
Lucas Mentch, Giles Hooker
Quantitative Analysis of Backchannels Uttered by an Interviewer During Neuropsychological Tests
Gérard Bailly, Frédéric Elisei, Alexandra Juphard et al.
Quantization based Fast Inner Product Search
Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski et al.
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu, Cong Leng, Yuhang Wang et al.
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity
Ping Li, Michael Mitzenmacher, Martin Slawski