Papers
Part & Clamp: Efficient Structured Output Learning
Patrick Pletscher, Cheng Soon Ong
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
Jian Peng, Tamir Hazan, Nathan Srebro et al.
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap
Alexander Paprotny, Jochen Garcke
Stick-Breaking Beta Processes and the Poisson Process
John Paisley, David Blei, Michael Jordan
Bayesian Quadrature for Ratios
Michael Osborne, Roman Garnett, Stephen Roberts et al.
Beyond Logarithmic Bounds in Online Learning
Francesco Orabona, Nicolo Cesa-Bianchi, Claudio Gentile
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views
Donglin Niu, Jennifer Dy, Zoubin Ghahramani
The adversarial stochastic shortest path problem with unknown transition probabilities
Gergely Neu, Andras Gyorgy, Csaba Szepesvari
Deep Boltzmann Machines as Feed-Forward Hierarchies
Gregoire Montavon, Mikio Braun, Klaus-Robert Muller
Lifted Linear Programming
Martin Mladenov, Babak Ahmadi, Kristian Kersting
Max-Margin Min-Entropy Models
Kevin Miller, M. Pawan Kumar, Ben Packer et al.
Globally Optimizing Graph Partitioning Problems Using Message Passing
Elad Mezuman, Yair Weiss
Movement Segmentation and Recognition for Imitation Learning
Franziska Meier, Evangelos Theodorou, Stefan Schaal
Adaptive MCMC with Bayesian Optimization
Nimalan Mahendran, Ziyu Wang, Firas Hamze et al.
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling
Jaakko Luttinen, Alexander Ilin
A Simple Geometric Interpretation of SVM using Stochastic Adversaries
Roi Livni, Koby Crammer, Amir Globerson
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields
Jie Liu, Chunming Zhang, Catherine Mccarty et al.
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
Guangcan Liu, Huan Xu, Shuicheng Yan
Efficient Sampling from Combinatorial Space via Bridging
Dahua Lin, John Fisher
Data dependent kernels in nearly-linear time
Guy Lever, Tom Diethe, John Shawe-Taylor
Efficient Hypergraph Clustering
Marius Leordeanu, Cristian Sminchisescu
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
Alexandre Lacoste, Francois Laviolette, Mario Marchand
Message-Passing Algorithms for MAP Estimation Using DC Programming
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint