Papers
8,340 papers found
A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines
Kostadin Georgiev, Preslav Nakov
An Optimal Policy for Target Localization with Application to Electron Microscopy
Raphael Sznitman, Aurelien Lucchi, Peter Frazier et al.
Anytime Representation Learning
Zhixiang Xu, Matt Kusner, Gao Huang et al.
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
Pascal Germain, Amaury Habrard, François Laviolette et al.
Approximate Inference in Collective Graphical Models
Daniel Sheldon, Tao Sun, Akshat Kumar et al.
Approximation properties of DBNs with binary hidden units and real-valued visible units
Oswin Krause, Asja Fischer, Tobias Glasmachers et al.
A Practical Algorithm for Topic Modeling with Provable Guarantees
Sanjeev Arora, Rong Ge, Yonatan Halpern et al.
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
Quoc Tran Dinh, Anastasios Kyrillidis, Volkan Cevher
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning
Arash Afkanpour, András György, Csaba Szepesvari et al.
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.