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• On the Optimal Bit Complexity of Circulant Binary Embedding

  Saehoon Kim, Jungtaek Kim, Seungjin Choi

  2018-04-29

• ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification

  Sima Behpour, Wei Xing, Brian Ziebart

  2018-04-29

• A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning

  Cheng-Yu Hsieh, Yi-An Lin, Hsuan-Tien Lin

  2018-04-29

• Automatic Segmentation of Data Sequences

  Liangzhe Chen, Sorour E. Amiri, B. Aditya Prakash

  2018-04-29

• Asymmetric Deep Supervised Hashing

  Qing-Yuan Jiang, Wu-Jun Li

  2018-04-29

• Source Traces for Temporal Difference Learning

  Silviu Pitis

  2018-04-29

• Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data

  Zheng Xie, Ming Li

  2018-04-29

• Long-Term Image Boundary Prediction

  Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz

  2018-04-29

• Riemannian Stein Variational Gradient Descent for Bayesian Inference

  Chang Liu, Jun Zhu

  2018-04-29

• High Rank Matrix Completion With Side Information

  Yugang Wang, Ehsan Elhamifar

  2018-04-29

• Learning Lexicographic Preference Trees From Positive Examples

  Hélène Fargier, Pierre-François Gimenez, Jérôme Mengin

  2018-04-29

• Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications

  Jose Cadena, Anil Vullikanti

  2018-04-29

• A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models

  Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick

  2018-04-29

• Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis

  Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long

  2018-04-29

• Constructive Preference Elicitation Over Hybrid Combinatorial Spaces

  Paolo Dragone, Stefano Teso, Andrea Passerini

  2018-04-29

• Asynchronous Doubly Stochastic Sparse Kernel Learning

  Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang

  2018-04-29

• Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization

  Bin Gu, De Wang, Zhouyuan Huo, Heng Huang

  2018-04-29

• Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning

  Lei Luo, Heng Huang

  2018-04-29

• Decomposition Strategies for Constructive Preference Elicitation

  Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini

  2018-04-29

• Graph Scan Statistics With Uncertainty

  Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng

  2018-04-29

• Action Branching Architectures for Deep Reinforcement Learning

  Arash Tavakoli, Fabio Pardo, Petar Kormushev

  2018-04-29

• Safe Reinforcement Learning via Shielding

  Mohammed Alshiekh, Roderick Bloem, Rüdiger Ehlers, Bettina Könighofer, Scott Niekum, Ufuk Topcu

  2018-04-29

• Rainbow: Combining Improvements in Deep Reinforcement Learning

  Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Azar, David Silver

  2018-04-29

• Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization

  Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang

  2018-04-29

• Counterfactual Multi-Agent Policy Gradients

  Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson

  2018-04-29