Papers
Bayesian Learning of Recursively Factored Environments
Marc Bellemare, Joel Veness, Michael Bowling
Topic Discovery through Data Dependent and Random Projections
Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar et al.
The Cross-Entropy Method Optimizes for Quantiles
Sergiu Goschin, Ari Weinstein, Michael Littman
Smooth Operators
Steffen Grunewalder, Gretton Arthur, John Shawe-Taylor
Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events
Lisa Friedland, David Jensen, Michael Lavine
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Lloyd, Roger Grosse et al.
Intersecting singularities for multi-structured estimation
Emile Richard, Francis BACH, Jean-Philippe Vert
A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines
Kostadin Georgiev, Preslav Nakov
On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George Dahl et al.
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization
Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski et al.
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions
Lijun Zhang, Tianbao Yang, Rong Jin et al.
Exploiting Ontology Structures and Unlabeled Data for Learning
Nina Balcan, Avrim Blum, Yishay Mansour
The Extended Parameter Filter
Yusuf Bugra Erol, Lei Li, Bharath Ramsundar et al.
Top-k Selection based on Adaptive Sampling of Noisy Preferences
Robert Busa-Fekete, Balazs Szorenyi, Weiwei Cheng et al.
Algorithms for Direct 0–1 Loss Optimization in Binary Classification
Tan Nguyen, Scott Sanner
Anytime Representation Learning
Zhixiang Xu, Matt Kusner, Gao Huang et al.
Gaussian Process Kernels for Pattern Discovery and Extrapolation
Andrew Wilson, Ryan Adams
Regularization of Neural Networks using DropConnect
Li Wan, Matthew Zeiler, Sixin Zhang et al.
Distribution to Distribution Regression
Junier Oliva, Barnabas Poczos, Jeff Schneider
Spectral Experts for Estimating Mixtures of Linear Regressions
Arun Tejasvi Chaganty, Percy Liang
The lasso, persistence, and cross-validation
Darren Homrighausen, Daniel McDonald
Mini-Batch Primal and Dual Methods for SVMs
Martin Takac, Avleen Bijral, Peter Richtarik et al.
Scaling the Indian Buffet Process via Submodular Maximization
Colorado Reed, Ghahramani Zoubin
Approximate Inference in Collective Graphical Models
Daniel Sheldon, Tao Sun, Akshat Kumar et al.