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• Near-Optimal MNL Bandits Under Risk Criteria

  Guangyu Xi, Chao Tao, Yuan Zhou

  10397-10404

  2021-05-18

• Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning

  Wenhan Xian, Feihu Huang, Heng Huang

  10405-10413

  2021-05-18

• Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science

  Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arroyave, Xiaoning Qian

  10414-10421

  2021-05-18

• Distant Transfer Learning via Deep Random Walk

  Qiao Xiao, Yu Zhang

  10422-10429

  2021-05-18

• Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation

  Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

  10430-10440

  2021-05-18

• Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler

  Jianwen Xie, Zilong Zheng, Ping Li

  10441-10451

  2021-05-18

• Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation

  Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar

  10452-10459

  2021-05-18

• Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling

  Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang

  10460-10468

  2021-05-18

• Variational Disentanglement for Rare Event Modeling

  Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin A. Goldstein, Ricardo Henao

  10469-10477

  2021-05-18

• Step-Ahead Error Feedback for Distributed Training with Compressed Gradient

  An Xu, Zhouyuan Huo, Heng Huang

  10478-10486

  2021-05-18

• Isolation Graph Kernel

  Bi-Cun Xu, Kai Ming Ting, Yuan Jiang

  10487-10495

  2021-05-18

• Multi-Task Recurrent Modular Networks

  Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang

  10496-10504

  2021-05-18

• Learning Graphons via Structured Gromov-Wasserstein Barycenters

  Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha

  10505-10513

  2021-05-18

• Towards Generalized Implementation of Wasserstein Distance in GANs

  Minkai Xu

  10514-10522

  2021-05-18

• Towards Feature Space Adversarial Attack by Style Perturbation

  Qiuling Xu, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang

  10523-10531

  2021-05-18

• MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records

  Zhen Xu, David R. So, Andrew M. Dai

  10532-10540

  2021-05-18

• Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster

  Zhiqin John Xu, Hanxu Zhou

  10541-10550

  2021-05-18

• Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective

  Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun

  10551-10559

  2021-05-18

• Toward Understanding the Influence of Individual Clients in Federated Learning

  Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen

  10560-10567

  2021-05-18

• Adversarial Partial Multi-Label Learning with Label Disambiguation

  Yan Yan, Yuhong Guo

  10568-10576

  2021-05-18

• Near Lossless Transfer Learning for Spiking Neural Networks

  Zhanglu Yan, Jun Zhou, Weng-Fai Wong

  10577-10584

  2021-05-18

• DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation

  Zhicong Yan, Gaolei Li, Yuan TIan, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor

  10585-10593

  2021-05-18

• Robust Bandit Learning with Imperfect Context

  Jianyi Yang, Shaolei Ren

  10594-10602

  2021-05-18

• Hierarchical Graph Capsule Network

  Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang

  10603-10611

  2021-05-18

• FracBits: Mixed Precision Quantization via Fractional Bit-Widths

  Linjie Yang, Qing Jin

  10612-10620

  2021-05-18