Papers
173,579 papers found
Perfect Dimensionality Recovery by Variational Bayesian PCA
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama et al.
Persistent Homology for Learning Densities with Bounded Support
Florian T. Pokorny, Hedvig Kjellström, Danica Kragic et al.
Perturbation based Large Margin Approach for Ranking
Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System
Hyunsin Park, Sungrack Yun, Sanghyuk Park et al.
Physics-Based Grasp Planning Through Clutter
Mehmet Dogar, Kaijen Hsiao, Matei Ciocarlie et al.
Plug-in Approach to Active Learning
Stanislav Minsker
Pointwise Tracking the Optimal Regression Function
Yair Wiener, Ran El-Yaniv
Positive Semidefinite Metric Learning Using Boosting-like Algorithms
Chunhua Shen, Junae Kim, Lei Wang et al.
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek, Hugo Larochelle, Ryan P. Adams
Practical Large Scale Classification with Additive Kernels
Hao Yang, Jianxin Wu
Practical Route Planning Under Delay Uncertainty: Stochastic Shortest Path Queries
Sejoon Lim, Christian Sommer, Evdokia Nikolova et al.
PREA: Personalized Recommendation Algorithms Toolkit
Joonseok Lee, Mingxuan Sun, Guy Lebanon
Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study
Uri Maoz, Shengxuan Ye, Ian Ross et al.
Primal-Dual methods for sparse constrained matrix completion
Yu Xin, Tommi Jaakkola
Priors for Diversity in Generative Latent Variable Models
James T. Kwok, Ryan P. Adams
Privacy Aware Learning
Martin J. Wainwright, Michael I. Jordan, John C. Duchi
Private Convex Empirical Risk Minimization and High-dimensional Regression
Daniel Kifer, Adam Smith, Abhradeep Thakurta
Probabilistic Event Cascades for Alzheimer's disease
Jonathan Huang, Daniel Alexander
Probabilistic Low-Rank Subspace Clustering
S. D. Babacan, Shinichi Nakajima, Minh Do
Probabilistic Modeling of Human Movements for Intention Inference
Zhikun Wang, Marc Deisenroth, Heni Ben Amor et al.
Probabilistic n-Choose-k Models for Classification and Ranking
Kevin Swersky, Brendan J. Frey, Daniel Tarlow et al.
Probabilistic Temporal Logic for Motion Planning with Resource Threshold Constraints
Chanyeol Yoo, Robert Fitch, Salah Sukkarieh
Projection Retrieval for Classification
Madalina Fiterau, Artur Dubrawski
Proper losses for learning from partial labels
Jesús Cid-sueiro