Papers
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
Optimal learning rates for least squares SVMs using Gaussian kernels
Mona Eberts, Ingo Steinwart
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Animashree Anandkumar, Vincent Tan, Alan S. Willsky
Orthogonal Matching Pursuit with Replacement
Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon
Sparse Bayesian Multi-Task Learning
Shengbo Guo, Onno Zoeter, Cédric Archambeau
A Collaborative Mechanism for Crowdsourcing Prediction Problems
Jacob D. Abernethy, Rafael M. Frongillo
Additive Gaussian Processes
David K. Duvenaud, Hannes Nickisch, Carl E. Rasmussen
Agnostic Selective Classification
Yair Wiener, Ran El-Yaniv
Hierarchically Supervised Latent Dirichlet Allocation
Adler J. Perotte, Frank Wood, Noemie Elhadad et al.
Autonomous Learning of Action Models for Planning
Neville Mehta, Prasad Tadepalli, Alan Fern
Variance Penalizing AdaBoost
Pannagadatta K. Shivaswamy, Tony Jebara
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
Ke Chen, Ahmad Salman
A Non-Parametric Approach to Dynamic Programming
Oliver B. Kroemer, Jan R. Peters
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Eric Moulines, Francis R. Bach
Spatial distance dependent Chinese restaurant processes for image segmentation
Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth et al.
Efficient Online Learning via Randomized Rounding
Nicolò Cesa-bianchi, Ohad Shamir