Papers
184,605 papers found
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
Sundeep Rangan, Alyson K. Fletcher
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
Feng Yan, Ningyi Xu, Yuan Qi
Particle-based Variational Inference for Continuous Systems
Andrew Frank, Padhraic Smyth, Alexander T. Ihler
Particle Swarm Model Selection
Hugo Jair Escalante, Manuel Montes, Luis Enrique Sucar
Perceptual Multistability as Markov Chain Monte Carlo Inference
Samuel Gershman, Ed Vul, Joshua B. Tenenbaum
Periodic Step Size Adaptation for Single Pass On-line Learning
Chun-nan Hsu, Yu-ming Chang, Hanshen Huang et al.
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications
Ulrich Paquet, Ole Winther, Manfred Opper
Planning motion in environments with similar obstacles
J.-M. Lien and Y. Lu
Policy search via the signed derivative
J. Z. Kolter and A. Y. Ng
Polynomial-Delay Enumeration of Monotonic Graph Classes
Jan Ramon, Siegfried Nijssen
Polynomial Semantic Indexing
Bing Bai, Jason Weston, David Grangier et al.
POMDPs for robotic tasks with mixed observability
S. C. W. Ong, S. W. Png, D. Hsu and W. S. Lee
Positioning unmanned aerial vehicles as communication relays for surveillance tasks
O. Burdakov, P. Doherty, K. Holmberg et al.
Positive Semidefinite Metric Learning with Boosting
Chunhua Shen, Junae Kim, Lei Wang et al.
Posterior vs Parameter Sparsity in Latent Variable Models
Kuzman Ganchev, Ben Taskar, Fernando Pereira et al.
Potential-Based Agnostic Boosting
Varun Kanade, Adam Kalai
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
Harold Pashler, Nicholas Cepeda, Robert Lindsey et al.
Prediction With Expert Advice For The Brier Game
Vladimir Vovk, Fedor Zhdanov
Probabilistic Relational PCA
Wu-jun Li, Dit-Yan Yeung, Zhihua Zhang
Properties of Monotonic Effects on Directed Acyclic Graphs
Tyler J. VanderWeele, James M. Robins
Provably Efficient Learning with Typed Parametric Models
Emma Brunskill, Bethany R. Leffler, Lihong Li et al.
Quantification and the language of thought
Charles Kemp
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
Alexandre Bouchard-côté, Slav Petrov, Dan Klein
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
Parikshit Ram, Dongryeol Lee, Hua Ouyang et al.