Papers
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
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris
Victor Gabillon, Mohammad Ghavamzadeh, Bruno Scherrer
The Pareto Regret Frontier
Wouter M. Koolen
Supervised Sparse Analysis and Synthesis Operators
Pablo Sprechmann, Roee Litman, Tal Ben Yakar et al.
Understanding Dropout
Pierre Baldi, Peter J Sadowski
Correlations strike back (again): the case of associative memory retrieval
Cristina Savin, Peter Dayan, Mate Lengyel
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach
Zhenwen Dai, Georgios Exarchakis, Jörg Lücke
Universal models for binary spike patterns using centered Dirichlet processes
ll Memming Park, Evan W Archer, Kenneth Latimer et al.
A Comparative Framework for Preconditioned Lasso Algorithms
Fabian L. Wauthier, Nebojsa Jojic, Michael I Jordan
Near-Optimal Entrywise Sampling for Data Matrices
Dimitris Achlioptas, Zohar S Karnin, Edo Liberty
Optimal Neural Population Codes for High-dimensional Stimulus Variables
Zhuo Wang, Alan Stocker, Daniel D Lee
Embed and Project: Discrete Sampling with Universal Hashing
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal et al.
Stochastic Optimization of PCA with Capped MSG
Raman Arora, Andy Cotter, Nati Srebro