Papers
Blending Autonomous Exploration and Apprenticeship Learning
Thomas J. Walsh, Daniel K. Hewlett, Clayton T. Morrison
Boosting with Maximum Adaptive Sampling
Charles Dubout, Francois Fleuret
Budgeted Optimization with Concurrent Stochastic-Duration Experiments
Javad Azimi, Alan Fern, Xiaoli Z. Fern
Clustered Multi-Task Learning Via Alternating Structure Optimization
Jiayu Zhou, Jianhui Chen, Jieping Ye
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
Scott Niekum, Andrew G. Barto
Collective Graphical Models
Daniel R. Sheldon, Thomas G. Dietterich
Committing Bandits
Loc X. Bui, Ramesh Johari, Shie Mannor
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