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• Learning by Transferring from Unsupervised Universal Sources

  Yu-Xiong Wang, Martial Hebert

  2016-03-02

• Uncorrelated Group LASSO

  Deguang Kong, Ji Liu, Bo Liu, Xuan Bao

  2016-02-21

• Selecting Near-Optimal Learners via Incremental Data Allocation

  Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro

  2016-03-02

• Re-Active Learning: Active Learning with Relabeling

  Christopher Lin, M Mausam, Daniel Weld

  2016-02-21

• Holographic Embeddings of Knowledge Graphs

  Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio

  2016-03-02

• Inverse Reinforcement Learning through Policy Gradient Minimization

  Matteo Pirotta, Marcello Restelli

  2016-03-02

• Offline Evaluation of Online Reinforcement Learning Algorithms

  Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popović

  2016-02-21

• Incremental Stochastic Factorization for Online Reinforcement Learning

  Andre Barreto, Rafael Beirigo, Joelle Pineau, Doina Precup

  2016-02-21

• A Probabilistic Approach to Knowledge Translation

  Shangpu Jiang, Daniel Lowd, Dejing Dou

  2016-02-21

• Unsupervised Feature Selection on Networks: A Generative View

  Xiaokai Wei, Bokai Cao, Philip S. Yu

  2016-03-02

• Linear-Time Learning on Distributions with Approximate Kernel Embeddings

  Danica J. Sutherland, Junier Oliva, Barnabás Póczos, Jeff Schneider

  2016-03-02

• Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates

  Jason Pazis, Ronald Parr

  2016-03-02

• Return of Frustratingly Easy Domain Adaptation

  Baochen Sun, Jiashi Feng, Kate Saenko

  2016-03-02

• Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee

  Shen-Yi Zhao, Wu-Jun Li

  2016-03-02

• Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning

  Guy Lever, John Shawe-Taylor, Ronnie Stafford, Csaba Szepesvari

  2016-02-21

• Increasing the Action Gap: New Operators for Reinforcement Learning

  Marc G. Bellemare, Georg Ostrovski, Arthur Guez, Philip Thomas, Remi Munos

  2016-02-21

• The Constrained Laplacian Rank Algorithm for Graph-Based Clustering

  Feiping Nie, Xiaoqian Wang, Michael Jordan, Heng Huang

  2016-03-02

• Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster

  Jesse Glass, Mohamed Ghalwash, Milan Vukicevic, Zoran Obradovic

  2016-02-21

• Optimal Discrete Matrix Completion

  Zhouyuan Huo, Ji Liu, Heng Huang

  2016-02-21

• Nonlinear Feature Extraction with Max-Margin Data Shifting

  Jianqiao Wangni, Ning Chen

  2016-03-02

• Scalable Sequential Spectral Clustering

  Yeqing Li, Junzhou Huang, Wei Liu

  2016-02-21

• Text Classification with Heterogeneous Information Network Kernels

  Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han

  2016-03-02

• Assumed Density Filtering Methods for Learning Bayesian Neural Networks

  Soumya Ghosh, Francesco Delle Fave, Jonathan Yedidia

  2016-02-21

• Deep Reinforcement Learning with Double Q-Learning

  Hado van Hasselt, Arthur Guez, David Silver

  2016-03-02

• Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations

  Lukas Studer, Loic Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl

  2016-03-02