Papers
Memory (and Time) Efficient Sequential Monte Carlo
Seong-Hwan Jun, Alexandre Bouchard-Côté
Linear Time Solver for Primal SVM
Feiping Nie, Yizhen Huang, Heng Huang
Linear Programming for Large-Scale Markov Decision Problems
Alan Malek, Yasin Abbasi-Yadkori, Peter Bartlett
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm
Alexander Schwing, Tamir Hazan, Marc Pollefeys et al.
Consistency of Causal Inference under the Additive Noise Model
Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing et al.
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
Ji Liu, Steve Wright, Christopher Re et al.
Optimization Equivalence of Divergences Improves Neighbor Embedding
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy
Gavin Taylor, Connor Geer, David Piekut
Structured Prediction of Network Response
Hongyu Su, Aristides Gionis, Juho Rousu
Gaussian Process Classification and Active Learning with Multiple Annotators
Filipe Rodrigues, Francisco Pereira, Bernardete Ribeiro
Sparse Reinforcement Learning via Convex Optimization
Zhiwei Qin, Weichang Li, Firdaus Janoos
Bayesian Max-margin Multi-Task Learning with Data Augmentation
Chengtao Li, Jun Zhu, Jianfei Chen
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically
Yuan Fang, Kevin Chang, Hady Lauw
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments
Eunho Yang, Aurelie Lozano, Pradeep Ravikumar
Elementary Estimators for High-Dimensional Linear Regression
Eunho Yang, Aurelie Lozano, Pradeep Ravikumar
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices
Jose Miguel Hernandez-Lobato, Neil Houlsby, Zoubin Ghahramani
Two-Stage Metric Learning
Jun Wang, Ke Sun, Fei Sha et al.
Rectangular Tiling Process
Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura et al.
Hierarchical Quasi-Clustering Methods for Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro et al.
Anomaly Ranking as Supervised Bipartite Ranking
Stephan Clémençon, Sylvain Robbiano
Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications
Sebastien Bratieres, Novi Quadrianto, Sebastian Nowozin et al.
Multi-label Classification via Feature-aware Implicit Label Space Encoding
Zijia Lin, Guiguang Ding, Mingqing Hu et al.
PAC-inspired Option Discovery in Lifelong Reinforcement Learning
Emma Brunskill, Lihong Li
Signal recovery from Pooling Representations
Joan Bruna Estrach, Arthur Szlam, Yann LeCun
Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks
Shan-Hung Wu, Hao-Heng Chien, Kuan-Hua Lin et al.