Papers
A Spectral Learning Approach to Range-Only SLAM
Byron Boots, Geoff Gordon
A Structural SVM Based Approach for Optimizing Partial AUC
Harikrishna Narasimhan, Shivani Agarwal
A Unified Robust Regression Model for Lasso-like Algorithms
Wenzhuo Yang, Huan Xu
A unifying framework for vector-valued manifold regularization and multi-view learning
Minh Hà Quang, Loris Bazzani, Vittorio Murino
A Variational Approximation for Topic Modeling of Hierarchical Corpora
Do-kyum Kim, Geoffrey Voelker, Lawrence Saul
Average Reward Optimization Objective In Partially Observable Domains
Yuri Grinberg, Doina Precup
Bayesian Games for Adversarial Regression Problems
Michael Großhans, Christoph Sawade, Michael Brückner et al.
Bayesian Learning of Recursively Factored Environments
Marc Bellemare, Joel Veness, Michael Bowling
Better Mixing via Deep Representations
Yoshua Bengio, Gregoire Mesnil, Yann Dauphin et al.
Better Rates for Any Adversarial Deterministic MDP
Ofer Dekel, Elad Hazan
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt et al.
Breaking the Small Cluster Barrier of Graph Clustering
Nir Ailon, Yudong Chen, Huan Xu
Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment
Billy Chang, Uwe Kruger, Rafal Kustra et al.
Characterizing the Representer Theorem
Yaoliang Yu, Hao Cheng, Dale Schuurmans et al.
Coco-Q: Learning in Stochastic Games with Side Payments
Eric Sodomka, Elizabeth Hilliard, Michael Littman et al.
Collaborative hyperparameter tuning
Rémi Bardenet, Mátyás Brendel, Balázs Kégl et al.
Collective Stability in Structured Prediction: Generalization from One Example
Ben London, Bert Huang, Ben Taskar et al.
Combinatorial Multi-Armed Bandit: General Framework and Applications
Wei Chen, Yajun Wang, Yang Yuan
Computation-Risk Tradeoffs for Covariance-Thresholded Regression
Dinah Shender, John Lafferty
Concurrent Reinforcement Learning from Customer Interactions
David Silver, Leonard Newnham, David Barker et al.
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
Boqing Gong, Kristen Grauman, Fei Sha
Consistency of Online Random Forests
Misha Denil, David Matheson, Nando Freitas
Consistency versus Realizable H-Consistency for Multiclass Classification
Phil Long, Rocco Servedio
Constrained fractional set programs and their application in local clustering and community detection
Thomas Bühler, Shyam Sundar Rangapuram, Simon Setzer et al.
Convex Adversarial Collective Classification
MohamadAli Torkamani, Daniel Lowd