Papers
176,624 papers found
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.
Ranking Measures and Loss Functions in Learning to Rank
Wei Chen, Tie-yan Liu, Yanyan Lan et al.
Reading Tea Leaves: How Humans Interpret Topic Models
Jonathan Chang, Sean Gerrish, Chong Wang et al.
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
Tao Hu, Anthony Leonardo, Dmitri B. Chklovskii
Refinement of Reproducing Kernels
Yuesheng Xu, Haizhang Zhang
Region-based Segmentation and Object Detection
Stephen Gould, Tianshi Gao, Daphne Koller
Regularized Distance Metric Learning:Theory and Algorithm
Rong Jin, Shijun Wang, Yang Zhou
Reinforcement Learning in Finite MDPs: PAC Analysis
Alexander L. Strehl, Lihong Li, Michael L. Littman
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
Stefan Klampfl, Wolfgang Maass
Replicated Softmax: an Undirected Topic Model
Geoffrey E. Hinton, Ruslan Salakhutdinov
Reproducing Kernel Banach Spaces for Machine Learning
Haizhang Zhang, Yuesheng Xu, Jun Zhang
Rethinking LDA: Why Priors Matter
Hanna M. Wallach, David M. Mimno, Andrew McCallum
Riffled Independence for Ranked Data
Jonathan Huang, Carlos Guestrin
RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments
Brian Tanner, Adam White
Robustness and Regularization of Support Vector Machines
Huan Xu, Constantine Caramanis, Shie Mannor