Papers
176,624 papers found
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
Yang Wang, Gholamreza Haffari, Shaojun Wang et al.
A Smoothed Approximate Linear Program
Vijay Desai, Vivek Farias, Ciamac C. Moallemi
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds
Paris Smaragdis, Madhusudana Shashanka, Bhiksha Raj
A Stochastic approximation method for inference in probabilistic graphical models
Peter Carbonetto, Matthew King, Firas Hamze
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
Asela Gunawardana, Guy Shani
Asymptotically Optimal Regularization in Smooth Parametric Models
Percy Liang, Guillaume Bouchard, Francis R. Bach et al.
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
Sundeep Rangan, Vivek Goyal, Alyson K. Fletcher
AUC optimization and the two-sample problem
Nicolas Vayatis, Marine Depecker, Stéphan J. Clémençcon
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
Andreas Bartels, Matthew Blaschko, Jacquelyn A. Shelton
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
Sahand Negahban, Bin Yu, Martin J. Wainwright et al.
Bayesian Belief Polarization
Alan Jern, Kai-min Chang, Charles Kemp
Bayesian estimation of orientation preference maps
Sebastian Gerwinn, Leonard White, Matthias Kaschube et al.
Bayesian Network Structure Learning by Recursive Autonomy Identification
Raanan Yehezkel, Boaz Lerner
Bayesian Nonparametric Models on Decomposable Graphs
Francois Caron, Arnaud Doucet
Bayesian Source Localization with the Multivariate Laplace Prior
Marcel V. Gerven, Botond Cseke, Robert Oostenveld et al.
Bayesian Sparse Factor Models and DAGs Inference and Comparison
Ricardo Henao, Ole Winther
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
Tomasz Malisiewicz, Alyosha Efros
Beyond Convexity: Online Submodular Minimization
Elad Hazan, Satyen Kale
Bilinear classifiers for visual recognition
Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes
Boosting with Spatial Regularization
Yongxin Xi, Uri Hasson, Peter J. Ramadge et al.
Bootstrapping from Game Tree Search
Joel Veness, David Silver, Alan Blair et al.
Bounded Kernel-Based Online Learning
Francesco Orabona, Joseph Keshet, Barbara Caputo
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition
Ashish Kapoor, Eric Horvitz
Bridging the gap between passivity and transparency
M. Franken, S. Stramigioli, R. Reilink et al.