Papers
21,849 papers found
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs
Armen Allahverdyan, Aram Galstyan
Complexity of Inference in Latent Dirichlet Allocation
David Sontag, Dan Roy
Composite Multiclass Losses
Elodie Vernet, Mark D. Reid, Robert C. Williamson
Confidence Sets for Network Structure
David S. Choi, Patrick J. Wolfe, Edoardo M. Airoldi
Contextual Gaussian Process Bandit Optimization
Andreas Krause, Cheng S. Ong
Continuous-Time Regression Models for Longitudinal Networks
Duy Q. Vu, David Hunter, Padhraic Smyth et al.
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt, Nicolas L. Roux, Francis R. Bach
Convergent Bounds on the Euclidean Distance
Yoonho Hwang, Hee-kap Ahn
Convergent Fitted Value Iteration with Linear Function Approximation
Daniel J. Lizotte
Co-regularized Multi-view Spectral Clustering
Abhishek Kumar, Piyush Rai, Hal Daume
Co-Training for Domain Adaptation
Minmin Chen, Kilian Q. Weinberger, John Blitzer
Crowdclustering
Ryan G. Gomes, Peter Welinder, Andreas Krause et al.
Data Skeletonization via Reeb Graphs
Xiaoyin Ge, Issam I. Safa, Mikhail Belkin et al.
Demixed Principal Component Analysis
Wieland Brendel, Ranulfo Romo, Christian K. Machens
Differentially Private M-Estimators
Jing Lei
Dimensionality Reduction Using the Sparse Linear Model
Ioannis A. Gkioulekas, Todd Zickler
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
Dominique C. Perrault-joncas, Marina Meila
Distributed Delayed Stochastic Optimization
Alekh Agarwal, John C. Duchi
Divide-and-Conquer Matrix Factorization
Lester W. Mackey, Michael I. Jordan, Ameet Talwalkar
Dynamical segmentation of single trials from population neural data
Biljana Petreska, Byron M. Yu, John P. Cunningham et al.
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Richard Socher, Eric H. Huang, Jeffrey Pennin et al.
Efficient anomaly detection using bipartite k-NN graphs
Kumar Sricharan, Alfred O. Hero
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons
Yan Karklin, Eero P. Simoncelli
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krähenbühl, Vladlen Koltun
Efficient inference in matrix-variate Gaussian models with \iid observation noise
Oliver Stegle, Christoph Lippert, Joris M. Mooij et al.