Papers
Factorized Orthogonal Latent Spaces
Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun et al.
Fast Active-set-type Algorithms for $l1$-regularized Linear Regression
Jingu Kim, Haesun Park
Feature Selection using Multiple Streams
Paramveer Dhillon, Dean Foster, Lyle Ungar
Fluid Dynamics Models for Low Rank Discriminant Analysis
Yung–Kyun Noh, Byoung–Tak Zhang, Daniel Lee
Focused Belief Propagation for Query-Specific Inference
Anton Chechetka, Carlos Guestrin
Gaussian processes with monotonicity information
Jaakko Riihimäki, Aki Vehtari
Guarantees for Approximate Incremental SVMs
Nicolas Usunier, Antoine Bordes, Léon Bottou
Half Transductive Ranking
Bing Bai, Jason Weston, David Grangier et al.
Hartigan’s Method: k-means Clustering without Voronoi
Matus Telgarsky, Andrea Vattani
HOP-MAP: Efficient Message Passing with High Order Potentials
Daniel Tarlow, Inmar Givoni, Richard Zemel
Identifying Cause and Effect on Discrete Data using Additive Noise Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
Impossibility Theorems for Domain Adaptation
Shai Ben David, Tyler Lu, Teresa Luu et al.
Improving posterior marginal approximations in latent Gaussian models
Botond Cseke, Tom Heskes
Incremental Sparsification for Real-time Online Model Learning
Duy Nguyen–Tuong, Jan Peters
Inductive Principles for Restricted Boltzmann Machine Learning
Benjamin Marlin, Kevin Swersky, Bo Chen et al.
Inference and Learning in Networks of Queues
Charles Sutton, Michael I. Jordan
Infinite Predictor Subspace Models for Multitask Learning
Piyush Rai, Hal Daumé III
Kernel Partial Least Squares is Universally Consistent
Gilles Blanchard, Nicole Krämer
Learning Bayesian Network Structure using LP Relaxations
Tommi Jaakkola, David Sontag, Amir Globerson et al.
Learning Causal Structure from Overlapping Variable Sets
Sofia Triantafillou, Ioannis Tsamardinos, Ioannis Tollis
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity
Sham Kakade, Ohad Shamir, Karthik Sindharan et al.
Learning Nonlinear Dynamic Models from Non-sequenced Data
Tzu–Kuo Huang, Le Song, Jeff Schneider
Learning Policy Improvements with Path Integrals
Evangelos Theodorou, Jonas Buchli, Stefan Schaal