Papers
Safe Screening of Non-Support Vectors in Pathwise SVM Computation
Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation
Minje Kim, Paris Smaragdis
Learning Policies for Contextual Submodular Prediction
Stephane Ross, Jiaji Zhou, Yisong Yue et al.
Scale Invariant Conditional Dependence Measures
Sashank J Reddi, Barnabas Poczos
Nonparametric Mixture of Gaussian Processes with Constraints
James Ross, Jennifer Dy
Deep learning with COTS HPC systems
Adam Coates, Brody Huval, Tao Wang et al.
Predictable Dual-View Hashing
Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei et al.
Maxout Networks
Ian Goodfellow, David Warde-Farley, Mehdi Mirza et al.
On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov, Yoshua Bengio
Learning Triggering Kernels for Multi-dimensional Hawkes Processes
Ke Zhou, Hongyuan Zha, Le Song
Multiple-source cross-validation
Krzysztof Geras, Charles Sutton
Expensive Function Optimization with Stochastic Binary Outcomes
Matthew Tesch, Jeff Schneider, Howie Choset
Fast Image Tagging
Minmin Chen, Alice Zheng, Kilian Weinberger
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting
Matt Wytock, Zico Kolter
Consistency of Online Random Forests
Misha Denil, David Matheson, Nando Freitas
Deep Canonical Correlation Analysis
Galen Andrew, Raman Arora, Jeff Bilmes et al.
Almost Optimal Exploration in Multi-Armed Bandits
Zohar Karnin, Tomer Koren, Oren Somekh
The Bigraphical Lasso
Alfredo Kalaitzis, John Lafferty, Neil D. Lawrence et al.
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.