Papers
First-order Decomposition Trees
Nima Taghipour, Jesse Davis, Hendrik Blockeel
Using multiple samples to learn mixture models
Jason Lee, Ran Gilad-Bachrach, Rich Caruana
Multi-Task Bayesian Optimization
Kevin Swersky, Jasper Snoek, Ryan P. Adams
Firing rate predictions in optimal balanced networks
David G Barrett, Sophie Denève, Christian K. Machens
Beyond Pairwise: Provably Fast Algorithms for Approximate k-Way Similarity Search
Anshumali Shrivastava, Ping Li
Optimization, Learning, and Games with Predictable Sequences
Sasha Rakhlin, Karthik Sridharan
Provable Subspace Clustering: When LRR meets SSC
Yu-Xiang Wang, Huan Xu, Chenlei Leng
Robust Data-Driven Dynamic Programming
Grani Adiwena Hanasusanto, Daniel Huhn
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh, Martin J. Wainwright
Spike train entropy-rate estimation using hierarchical Dirichlet process priors
Karin C Knudson, Jonathan W Pillow
Learning Adaptive Value of Information for Structured Prediction
David J Weiss, Ben Taskar
k-Prototype Learning for 3D Rigid Structures
Hu Ding, Ronald Berezney, Jinhui Xu
Probabilistic Principal Geodesic Analysis
Miaomiao Zhang, Tom Fletcher
Actor-Critic Algorithms for Risk-Sensitive MDPs
Prashanth L.A., Mohammad Ghavamzadeh
Density estimation from unweighted k-nearest neighbor graphs: a roadmap
Ulrike Von Luxburg, Morteza Alamgir
Mapping paradigm ontologies to and from the brain
Yannick Schwartz, Bertrand Thirion, Gael Varoquaux
One-shot learning and big data with n=2
Lee H Dicker, Dean P. Foster
Unsupervised Spectral Learning of Finite State Transducers
Raphael Bailly, Xavier Carreras, Ariadna Quattoni
A Stability-based Validation Procedure for Differentially Private Machine Learning
Kamalika Chaudhuri, Staal A Vinterbo
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent
Yuening Hu, Jordan L Ying, Hal Daume III et al.
Message Passing Inference with Chemical Reaction Networks
Nils E Napp, Ryan P. Adams
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning
Miao Xu, Rong Jin, Zhi-Hua Zhou
Probabilistic Movement Primitives
Alexandros Paraschos, Christian Daniel, Jan R Peters et al.
Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising
Forest Agostinelli, Michael R Anderson, Honglak Lee