Papers
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
Lei Shi, Thomas L. Griffiths
Polynomial Semantic Indexing
Bing Bai, Jason Weston, David Grangier et al.
Hierarchical Learning of Dimensional Biases in Human Categorization
Adam Sanborn, Nick Chater, Katherine A. Heller
Convex Relaxation of Mixture Regression with Efficient Algorithms
Novi Quadrianto, John Lim, Dale Schuurmans et al.
Improving Existing Fault Recovery Policies
Guy Shani, Christopher Meek
3D Object Recognition with Deep Belief Nets
Vinod Nair, Geoffrey E. Hinton
Toward Provably Correct Feature Selection in Arbitrary Domains
Dimitris Margaritis
An LP View of the M-best MAP problem
Menachem Fromer, Amir Globerson
A Neural Implementation of the Kalman Filter
Robert Wilson, Leif Finkel
Riffled Independence for Ranked Data
Jonathan Huang, Carlos Guestrin
Adaptive Design Optimization in Experiments with People
Daniel Cavagnaro, Jay Myung, Mark A. Pitt
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora
Shuang-hong Yang, Hongyuan Zha, Bao-gang Hu
A Game-Theoretic Approach to Hypergraph Clustering
Samuel R. Bulò, Marcello Pelillo
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
Harold Pashler, Nicholas Cepeda, Robert Lindsey et al.
Adapting to the Shifting Intent of Search Queries
Umar Syed, Aleksandrs Slivkins, Nina Mishra
Probabilistic Relational PCA
Wu-jun Li, Dit-Yan Yeung, Zhihua Zhang
Perceptual Multistability as Markov Chain Monte Carlo Inference
Samuel Gershman, Ed Vul, Joshua B. Tenenbaum
Maximin affinity learning of image segmentation
Kevin Briggman, Winfried Denk, Sebastian Seung et al.
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
Boaz Nadler, Nathan Srebro, Xueyuan Zhou
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
Kenji Fukumizu, Arthur Gretton, Gert R. Lanckriet et al.
Multi-Label Prediction via Compressed Sensing
Daniel J. Hsu, Sham M. Kakade, John Langford et al.
Learning to Hash with Binary Reconstructive Embeddings
Brian Kulis, Trevor Darrell
L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry
Arnak Dalalyan, Renaud Keriven
Efficient Learning using Forward-Backward Splitting
Yoram Singer, John C. Duchi