Papers
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
Joseph Futoma, Sanjay Hariharan, Katherine Heller
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim et al.
Learning to Discover Sparse Graphical Models
Eugene Belilovsky, Kyle Kastner, Gael Varoquaux et al.
Learning to Generate Long-term Future via Hierarchical Prediction
Ruben Villegas, Jimei Yang, Yuliang Zou et al.
Learning to Learn without Gradient Descent by Gradient Descent
Yutian Chen, Matthew W. Hoffman, Sergio Gómez Colmenarejo et al.
Leveraging Node Attributes for Incomplete Relational Data
He Zhao, Lan Du, Wray Buntine
Leveraging Union of Subspace Structure to Improve Constrained Clustering
John Lipor, Laura Balzano
Local Bayesian Optimization of Motor Skills
Riad Akrour, Dmitry Sorokin, Jan Peters et al.
Local-to-Global Bayesian Network Structure Learning
Tian Gao, Kshitij Fadnis, Murray Campbell
Logarithmic Time One-Against-Some
Hal Daumé III, Nikos Karampatziakis, John Langford et al.
Lost Relatives of the Gumbel Trick
Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani et al.
Magnetic Hamiltonian Monte Carlo
Nilesh Tripuraneni, Mark Rowland, Zoubin Ghahramani et al.
Maximum Selection and Ranking under Noisy Comparisons
Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati et al.
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang, Stefanie Jegelka
McGan: Mean and Covariance Feature Matching GAN
Youssef Mroueh, Tom Sercu, Vaibhava Goel
Measuring Sample Quality with Kernels
Jackson Gorham, Lester Mackey
MEC: Memory-efficient Convolution for Deep Neural Network
Minsik Cho, Daniel Brand
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
Xu Sun, Xuancheng Ren, Shuming Ma et al.
Meritocratic Fairness for Cross-Population Selection
Michael Kearns, Aaron Roth, Zhiwei Steven Wu
Meta Networks
Tsendsuren Munkhdalai, Hong Yu
Minimax Regret Bounds for Reinforcement Learning
Mohammad Gheshlaghi Azar, Ian Osband, Rémi Munos
Minimizing Trust Leaks for Robust Sybil Detection
János Höner, Shinichi Nakajima, Alexander Bauer et al.
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn, Pieter Abbeel, Sergey Levine
Model-Independent Online Learning for Influence Maximization
Sharan Vaswani, Branislav Kveton, Zheng Wen et al.
Modular Multitask Reinforcement Learning with Policy Sketches
Jacob Andreas, Dan Klein, Sergey Levine