Papers
Toward Optimal Stratification for Stratified Monte-Carlo Integration
Alexandra Carpentier, Rémi Munos
Stochastic Simultaneous Optimistic Optimization
Michal Valko, Alexandra Carpentier, Rémi Munos
Gaussian Process Vine Copulas for Multivariate Dependence
David Lopez-Paz, Jose Miguel Hernández-Lobato, Ghahramani Zoubin
Mixture of Mutually Exciting Processes for Viral Diffusion
Shuang-Hong Yang, Hongyuan Zha
Rounding Methods for Discrete Linear Classification
Yann Chevaleyre, Frédéerick Koriche, Jean-daniel Zucker
Convex Adversarial Collective Classification
MohamadAli Torkamani, Daniel Lowd
Efficient Semi-supervised and Active Learning of Disjunctions
Nina Balcan, Christopher Berlind, Steven Ehrlich et al.
Constrained fractional set programs and their application in local clustering and community detection
Thomas Bühler, Shyam Sundar Rangapuram, Simon Setzer et al.
Robust Structural Metric Learning
Daryl Lim, Gert Lanckriet, Brian McFee
Learning an Internal Dynamics Model from Control Demonstration
Matthew Golub, Steven Chase, Byron Yu
Vanishing Component Analysis
Roi Livni, David Lehavi, Sagi Schein et al.
Large-Scale Bandit Problems and KWIK Learning
Jacob Abernethy, Kareem Amin, Michael Kearns et al.
Dynamical Models and tracking regret in online convex programming
Eric Hall, Rebecca Willett
Characterizing the Representer Theorem
Yaoliang Yu, Hao Cheng, Dale Schuurmans et al.
Online Latent Dirichlet Allocation with Infinite Vocabulary
Ke Zhai, Jordan Boyd-Graber
Better Mixing via Deep Representations
Yoshua Bengio, Gregoire Mesnil, Yann Dauphin et al.
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning
Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner et al.
Adaptive Task Assignment for Crowdsourced Classification
Chien-Ju Ho, Shahin Jabbari, Jennifer Wortman Vaughan
Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs
K. S. Sesh Kumar, Francis Bach
A Structural SVM Based Approach for Optimizing Partial AUC
Harikrishna Narasimhan, Shivani Agarwal
ELLA: An Efficient Lifelong Learning Algorithm
Paul Ruvolo, Eric Eaton
Online Feature Selection for Model-based Reinforcement Learning
Trung Nguyen, Zhuoru Li, Tomi Silander et al.
Enhanced statistical rankings via targeted data collection
Braxton Osting, Christoph Brune, Stanley Osher
Efficient Active Learning of Halfspaces: an Aggressive Approach
Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
A Generalized Kernel Approach to Structured Output Learning
Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux