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• High Dimensional Clustering with r-nets

  Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer

  3207-3214

  2019-07-17

• Balanced Linear Contextual Bandits

  Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens

  3445-3453

  2019-07-17

• On-Line Adaptative Curriculum Learning for GANs

  Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

  3470-3477

  2019-07-17

• Partial Multi-Label Learning via Credible Label Elicitation

  Jun-Peng Fang, Min-Ling Zhang

  3518-3525

  2019-07-17

• Interpretation of Neural Networks Is Fragile

  Amirata Ghorbani, Abubakar Abid, James Zou

  3681-3688

  2019-07-17

• Using Benson’s Algorithm for Regularization Parameter Tracking

  Joachim Giesen, Sӧren Laue, Andreas Lӧhne, Christopher Schneider

  3689-3696

  2019-07-17

• Hybrid Reinforcement Learning with Expert State Sequences

  Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell

  3739-3746

  2019-07-17

• Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing

  Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell

  3812-3821

  2019-07-17

• HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation

  Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan

  3830-3837

  2019-07-17

• Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion

  Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai

  3846-3853

  2019-07-17

• Efficient Identification of Approximate Best Configuration of Training in Large Datasets

  Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri

  3862-3869

  2019-07-17

• Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets

  Zhiwu Huang, Jiqing Wu, Luc Van Gool

  3886-3893

  2019-07-17

• Meta-Descent for Online, Continual Prediction

  Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White

  3943-3950

  2019-07-17

• Transferable Curriculum for Weakly-Supervised Domain Adaptation

  Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang

  4951-4958

  2019-07-17

• Safe Policy Improvement with Baseline Bootstrapping in Factored Environments

  Thiago D. Simão, Matthijs T. J. Spaan

  4967-4974

  2019-07-17

• Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios

  Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang

  5313-5320

  2019-07-17

• SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection

  Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi

  5321-5328

  2019-07-17

• The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining

  Colleen Alkalay-Houlihan, Nisarg Shah

  1724-1731

  2019-07-17

• Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking

  Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia

  2189-2196

  2019-07-17

• AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches

  Nan Cao, Xin Yan, Yang Shi, Chaoran Chen

  2564-2571

  2019-07-17

• Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies

  Xiao Guo, Jongmoo Choi

  2580-2587

  2019-07-17

• Scalable Recollections for Continual Lifelong Learning

  Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini

  1352-1359

  2019-07-17

• On Geometric Alignment in Low Doubling Dimension

  Hu Ding, Mingquan Ye

  1460-1467

  2019-07-17

• Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization

  Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng

  1552-1559

  2019-07-17

• On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem

  Igor Molybog, Javad Lavaei

  1568-1575

  2019-07-17