Papers
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression
Yu-Ying Liu, Shuang Li, Fuxin Li et al.
Efficient Non-greedy Optimization of Decision Trees
Mohammad Norouzi, Maxwell Collins, Matthew A Johnson et al.
Efficient Output Kernel Learning for Multiple Tasks
Pratik Kumar Jawanpuria, Maksim Lapin, Matthias Hein et al.
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation
Jaya Kawale, Hung H Bui, Branislav Kveton et al.
Embedding Inference for Structured Multilabel Prediction
Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding et al.
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter, Jost Springenberg, Joschka Boedecker et al.
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces
Takashi Takenouchi, Takafumi Kanamori
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture
Jianshu Chen, Ji He, Yelong Shen et al.
End-To-End Memory Networks
Sainbayar Sukhbaatar, arthur szlam, Jason Weston et al.
Enforcing balance allows local supervised learning in spiking recurrent networks
Ralph Bourdoukan, Sophie Denève
Equilibrated adaptive learning rates for non-convex optimization
Yann Dauphin, Harm de Vries, Yoshua Bengio
Estimating Mixture Models via Mixtures of Polynomials
Sida Wang, Arun Tejasvi Chaganty, Percy Liang
Evaluating the statistical significance of biclusters
Jason Lee, Yuekai Sun, Jonathan E Taylor
Exactness of Approximate MAP Inference in Continuous MRFs
Nicholas Ruozzi
Expectation Particle Belief Propagation
Thibaut Lienart, Yee Whye Teh, Arnaud Doucet
Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros, Richard Zemel
Expressing an Image Stream with a Sequence of Natural Sentences
Cesc C Park, Gunhee Kim
Extending Gossip Algorithms to Distributed Estimation of U-statistics
Igor Colin, Aurélien Bellet, Joseph Salmon et al.
Fast and Accurate Inference of Plackett–Luce Models
Lucas Maystre, Matthias Grossglauser
Fast and Guaranteed Tensor Decomposition via Sketching
Yining Wang, Hsiao-Yu Tung, Alexander J Smola et al.
Fast and Memory Optimal Low-Rank Matrix Approximation
Se-Young Yun, marc lelarge, Alexandre Proutiere
Fast Bidirectional Probability Estimation in Markov Models
Siddhartha Banerjee, Peter Lofgren
Fast Classification Rates for High-dimensional Gaussian Generative Models
Tianyang Li, Adarsh Prasad, Pradeep K Ravikumar