Papers
Blending Learning and Inference in Conditional Random Fields
Tamir Hazan, Alexander G. Schwing, Raquel Urtasun
An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension
Bo Peng, Lan Wang, Yichao Wu
Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses
Peter Schulam, Suchi Saria
A Characterization of Linkage-Based Hierarchical Clustering
Margareta Ackerman, Shai Ben-David
Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation
Nuaman Asbeh, Boaz Lerner
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees
Michael Chichignoud, Johannes Lederer, Martin J. Wainwright
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption
Chenxin Ma, Rachael Tappenden, Martin Takáč
Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case
Joon Kwon, Vianney Perchet
Approximate Newton Methods for Policy Search in Markov Decision Processes
Thomas Furmston, Guy Lever, David Barber
GenSVM: A Generalized Multiclass Support Vector Machine
Gerrit J.J. van den Burg, Patrick J.F. Groenen
Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview
Nuaman Asbeh, Boaz Lerner
Composite Multiclass Losses
Robert C. Williamson, Elodie Vernet, Mark D. Reid
Stability and Generalization in Structured Prediction
Ben London, Bert Huang, Lise Getoor
RLScore: Regularized Least-Squares Learners
Tapio Pahikkala, Antti Airola
On Bayes Risk Lower Bounds
Xi Chen, Adityanand Guntuboyina, Yuchen Zhang
Multi-scale Classification using Localized Spatial Depth
Subhajit Dutta, Soham Sarkar, Anil K. Ghosh
Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing
Xi Chen, Kevin Jiao, Qihang Lin
Learning Planar Ising Models
Jason K. Johnson, Diane Oyen, Michael Chertkov et al.
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares
Garvesh Raskutti, Michael W. Mahoney
Neyman-Pearson Classification under High-Dimensional Settings
Anqi Zhao, Yang Feng, Lie Wang et al.
Measuring Dependence Powerfully and Equitably
Yakir A. Reshef, David N. Reshef, Hilary K. Finucane et al.
Multi-Objective Markov Decision Processes for Data-Driven Decision Support
Daniel J. Lizotte, Eric B. Laber