Papers
Fast Template Evaluation with Vector Quantization
Mohammad Amin Sadeghi, David Forsyth
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA
Vincent Q. Vu, Juhee Cho, Jing Lei et al.
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
Tamir Hazan, Subhransu Maji, Joseph Keshet et al.
Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising
Min Xu, Tao Qin, Tie-Yan Liu
Predicting Parameters in Deep Learning
Misha Denil, Babak Shakibi, Laurent Dinh et al.
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Francis Bach, Eric Moulines
Distributed k-means and k-median Clustering on General Topologies
Maria-Florina F Balcan, Steven Ehrlich, Yingyu Liang
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs
Yann Dauphin, Yoshua Bengio
Learning Stochastic Inverses
Andreas Stuhlmüller, Jacob Taylor, Noah Goodman
Data-driven Distributionally Robust Polynomial Optimization
Martin Mevissen, Emanuele Ragnoli, Jia Yuan Yu
A memory frontier for complex synapses
Subhaneil Lahiri, Surya Ganguli
Least Informative Dimensions
Fabian Sinz, Anna Stockl, Jan Grewe et al.
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs
Aswin Raghavan, Roni Khardon, Alan Fern et al.
DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome, Greg S Corrado, Jon Shlens et al.
Robust Spatial Filtering with Beta Divergence
Wojciech Samek, Duncan Blythe, Klaus-Robert Müller et al.
On the Representational Efficiency of Restricted Boltzmann Machines
James Martens, Arkadev Chattopadhya, Toni Pitassi et al.
Adaptive dropout for training deep neural networks
Jimmy Ba, Brendan Frey
Pass-efficient unsupervised feature selection
Crystal Maung, Haim Schweitzer
On the Complexity and Approximation of Binary Evidence in Lifted Inference
Guy Van den Broeck, Adnan Darwiche
Recurrent linear models of simultaneously-recorded neural populations
Marius Pachitariu, Biljana Petreska, Maneesh Sahani
Σ-Optimality for Active Learning on Gaussian Random Fields
Yifei Ma, Roman Garnett, Jeff Schneider
Memory Limited, Streaming PCA
Ioannis Mitliagkas, Constantine Caramanis, Prateek Jain
Dimension-Free Exponentiated Gradient
Francesco Orabona
Learning Feature Selection Dependencies in Multi-task Learning
Daniel Hernández-Lobato, José Miguel Hernández-Lobato