Papers
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
Active Learning for Multi-Objective Optimization
Marcela Zuluaga, Guillaume Sergent, Andreas Krause et al.
Scaling Multidimensional Gaussian Processes using Projected Additive Approximations
Elad Gilboa, Yunus Saatçi, John Cunningham et al.
Iterative Learning and Denoising in Convolutional Neural Associative Memories
Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi
General Functional Matrix Factorization Using Gradient Boosting
Tianqi Chen, Hang Li, Qiang Yang et al.
Approximation properties of DBNs with binary hidden units and real-valued visible units
Oswin Krause, Asja Fischer, Tobias Glasmachers et al.
Learning with Marginalized Corrupted Features
Laurens Maaten, Minmin Chen, Stephen Tyree et al.