Papers
Predicting the relevance of distributional semantic similarity with contextual information
Philippe Muller, Cécile Fabre, Clémentine Adam
Predicting Useful Neighborhoods for Lazy Local Learning
Aron Yu, Kristen Grauman
Predicting User Annoyance Using Visual Attributes
Gordon Christie, Amar Parkash, Ujwal Krothapalli et al.
Prediction and Clustering in Signed Networks: A Local to Global Perspective
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan et al.
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations
Yevgeny Seldin, Peter Bartlett, Koby Crammer et al.
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato, Matthew W Hoffman, Zoubin Ghahramani
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows
Robert Busa-Fekete, Eyke Huellermeier, Balázs Szörényi
Preserving Modes and Messages via Diverse Particle Selection
Jason Pacheco, Silvia Zuffi, Michael Black et al.
Pre-training of Recurrent Neural Networks via Linear Autoencoders
Luca Pasa, Alessandro Sperduti
Priberam: A Turbo Semantic Parser with Second Order Features
André F. T. Martins, Mariana S. C. Almeida
Principal Component Analysis and Higher Correlations for Distributed Data
Ravi Kannan, Santosh Vempala, David Woodruff
Prior-informed Distant Supervision for Temporal Evidence Classification
Ridho Reinanda, Maarten de Rijke
Probabilistic Differential Dynamic Programming
Yunpeng Pan, Evangelos Theodorou
Probabilistic Labeling Cost for High-Accuracy Multi-View Reconstruction
Ilya Kostrikov, Esther Horbert, Bastian Leibe
Probabilistic Labeling for Efficient Referential Grounding based on Collaborative Discourse
Changsong Liu, Lanbo She, Rui Fang et al.
Probabilistic low-rank matrix completion on finite alphabets
Jean Lafond, Olga Klopp, Eric Moulines et al.
Probabilistic Matrix Factorization with Non-random Missing Data
Jose Miguel Hernandez-Lobato, Neil Houlsby, Zoubin Ghahramani
Probabilistic Modeling of Joint-context in Distributional Similarity
Oren Melamud, Ido Dagan, Jacob Goldberger et al.
Probabilistic ODE Solvers with Runge-Kutta Means
Michael Schober, David K. Duvenaud, Philipp Hennig
Probabilistic Partial Canonical Correlation Analysis
Yusuke Mukuta, Harada
Probabilistic Soft Logic for Semantic Textual Similarity
Islam Beltagy, Katrin Erk, Raymond Mooney
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics
Philipp Hennig, Søren Hauberg
Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Kalina Bontcheva, Jingbo Zhu