Papers
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
Rishabh K Iyer, Stefanie Jegelka, Jeff A. Bilmes
Learning Chordal Markov Networks by Constraint Satisfaction
Jukka Corander, Tomi Janhunen, Jussi Rintanen et al.
Learning Trajectory Preferences for Manipulators via Iterative Improvement
Ashesh Jain, Brian Wojcik, Thorsten Joachims et al.
Non-Linear Domain Adaptation with Boosting
Carlos J Becker, Christos M Christoudias, Pascal Fua
On the Sample Complexity of Subspace Learning
Alessandro Rudi, Guillermo D Canas, Lorenzo Rosasco
Context-sensitive active sensing in humans
Sheeraz Ahmad, He Huang, Angela J. Yu
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits
Jason Chang, John W. Fisher III
Efficient Exploration and Value Function Generalization in Deterministic Systems
Zheng Wen, Benjamin Van Roy
On Algorithms for Sparse Multi-factor NMF
Siwei Lyu, Xin Wang
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
Qirong Ho, James Cipar, Henggang Cui et al.
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
Edoardo M. Airoldi, Thiago B Costa, Stanley H Chan
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models
Adel Javanmard, Andrea Montanari
Latent Structured Active Learning
Wenjie Luo, Alex Schwing, Raquel Urtasun
Analyzing Hogwild Parallel Gaussian Gibbs Sampling
Matthew J Johnson, James Saunderson, Alan Willsky
What do row and column marginals reveal about your dataset?
Behzad Golshan, John Byers, Evimaria Terzi
Deep content-based music recommendation
Aaron van den Oord, Sander Dieleman, Benjamin Schrauwen
Reasoning With Neural Tensor Networks for Knowledge Base Completion
Richard Socher, Danqi Chen, Christopher D. Manning et al.
Designed Measurements for Vector Count Data
Liming Wang, David E Carlson, Miguel Rodrigues et al.
Flexible sampling of discrete data correlations without the marginal distributions
Alfredo Kalaitzis, Ricardo Silva
EDML for Learning Parameters in Directed and Undirected Graphical Models
Khaled S Refaat, Arthur Choi, Adnan Darwiche
Nonparametric Multi-group Membership Model for Dynamic Networks
Myunghwan Kim, Jure Leskovec
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators.
Michel Besserve, Nikos K. Logothetis, Bernhard Schölkopf
Optimistic Concurrency Control for Distributed Unsupervised Learning
Xinghao Pan, Joseph E Gonzalez, Stefanie Jegelka et al.
Learning invariant representations and applications to face verification
Qianli Liao, Joel Z. Leibo, Tomaso Poggio