Papers
Maximum Margin Multi-Label Structured Prediction
Christoph H. Lampert
Similarity-based Learning via Data Driven Embeddings
Purushottam Kar, Prateek Jain
Online Learning: Stochastic, Constrained, and Smoothed Adversaries
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
Stochastic convex optimization with bandit feedback
Alekh Agarwal, Dean P. Foster, Daniel J. Hsu et al.
Continuous-Time Regression Models for Longitudinal Networks
Duy Q. Vu, David Hunter, Padhraic Smyth et al.
Matrix Completion for Multi-label Image Classification
Ricardo S. Cabral, Fernando Torre, Joao P. Costeira et al.
Adaptive Hedge
Tim V. Erven, Wouter M. Koolen, Steven D. Rooij et al.
Bayesian Spike-Triggered Covariance Analysis
ll Memming Park, Jonathan W. Pillow
Inferring spike-timing-dependent plasticity from spike train data
Ian Stevenson, Konrad Koerding
Beating SGD: Learning SVMs in Sublinear Time
Elad Hazan, Tomer Koren, Nati Srebro
Improving Topic Coherence with Regularized Topic Models
David Newman, Edwin V. Bonilla, Wray Buntine
Uniqueness of Belief Propagation on Signed Graphs
Yusuke Watanabe
Modelling Genetic Variations using Fragmentation-Coagulation Processes
Yee W. Teh, Charles Blundell, Lloyd Elliott
Im2Text: Describing Images Using 1 Million Captioned Photographs
Vicente Ordonez, Girish Kulkarni, Tamara L. Berg
Non-conjugate Variational Message Passing for Multinomial and Binary Regression
David A. Knowles, Tom Minka
Divide-and-Conquer Matrix Factorization
Lester W. Mackey, Michael I. Jordan, Ameet Talwalkar
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
Jia Deng, Sanjeev Satheesh, Alexander C. Berg et al.
PAC-Bayesian Analysis of Contextual Bandits
Yevgeny Seldin, Peter Auer, John S. Shawe-taylor et al.
An Application of Tree-Structured Expectation Propagation for Channel Decoding
Pablo M. Olmos, Luis Salamanca, Juan Fuentes et al.
Heavy-tailed Distances for Gradient Based Image Descriptors
Yangqing Jia, Trevor Darrell
ShareBoost: Efficient multiclass learning with feature sharing
Shai Shalev-shwartz, Yonatan Wexler, Amnon Shashua
Kernel Bayes' Rule
Kenji Fukumizu, Le Song, Arthur Gretton
A More Powerful Two-Sample Test in High Dimensions using Random Projection
Miles Lopes, Laurent Jacob, Martin J. Wainwright
Message-Passing for Approximate MAP Inference with Latent Variables
Jiarong Jiang, Piyush Rai, Hal Daume
Fast and Accurate k-means For Large Datasets
Michael Shindler, Alex Wong, Adam W. Meyerson