Papers
Local Smoothness in Variance Reduced Optimization
Daniel Vainsencher, Han Liu, Tong Zhang
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
Peter Schulam, Suchi Saria
GP Kernels for Cross-Spectrum Analysis
Kyle R Ulrich, David E Carlson, Kafui Dzirasa et al.
Practical and Optimal LSH for Angular Distance
Alexandr Andoni, Piotr Indyk, Thijs Laarhoven et al.
Grammar as a Foreign Language
Oriol Vinyals, Łukasz Kaiser, Terry Koo et al.
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin, Tomas Mikolov
Interactive Control of Diverse Complex Characters with Neural Networks
Igor Mordatch, Kendall Lowrey, Galen Andrew et al.
Character-level Convolutional Networks for Text Classification
Xiang Zhang, Junbo Zhao, Yann LeCun
Fast and Memory Optimal Low-Rank Matrix Approximation
Se-Young Yun, marc lelarge, Alexandre Proutiere
Training Very Deep Networks
Rupesh K Srivastava, Klaus Greff, Jürgen Schmidhuber
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
Ye Wang, David B Dunson
Combinatorial Cascading Bandits
Branislav Kveton, Zheng Wen, Azin Ashkan et al.
Optimal Testing for Properties of Distributions
Jayadev Acharya, Constantinos Daskalakis, Gautam Kamath
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Cameron Musco, Christopher Musco
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
Rakesh Shivanna, Bibaswan K Chatterjee, Raman Sankaran et al.
b-bit Marginal Regression
Martin Slawski, Ping Li
Robust Regression via Hard Thresholding
Kush Bhatia, Prateek Jain, Purushottam Kar
Adaptive Online Learning
Dylan J Foster, Alexander Rakhlin, Karthik Sridharan
Fast Classification Rates for High-dimensional Gaussian Generative Models
Tianyang Li, Adarsh Prasad, Pradeep K Ravikumar
Learning spatiotemporal trajectories from manifold-valued longitudinal data
Jean-Baptiste SCHIRATTI, Stéphanie ALLASSONNIERE, Olivier Colliot et al.
Expressing an Image Stream with a Sequence of Natural Sentences
Cesc C Park, Gunhee Kim
Closed-form Estimators for High-dimensional Generalized Linear Models
Eunho Yang, Aurelie C. Lozano, Pradeep K Ravikumar
A class of network models recoverable by spectral clustering
Yali Wan, Marina Meila
Sampling from Probabilistic Submodular Models
Alkis Gotovos, Hamed Hassani, Andreas Krause