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• Reinforcement Learning with Trajectory Feedback

  Yonathan Efroni, Nadav Merlis, Shie Mannor

  7288-7295

  2021-05-18

• The Parameterized Complexity of Clustering Incomplete Data

  Eduard Eiben, Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider

  7296-7304

  2021-05-18

• Learning Prediction Intervals for Model Performance

  Benjamin Elder, Matthew Arnold, Anupama Murthi, Jiří Navrátil

  7305-7313

  2021-05-18

• Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities

  Alina Ene, Huy L. Nguyen, Adrian Vladu

  7314-7321

  2021-05-18

• Projection-Free Bandit Optimization with Privacy Guarantees

  Alina Ene, Huy L. Nguyen, Adrian Vladu

  7322-7330

  2021-05-18

• Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems

  Shohei Enomoro, Takeharu Eda

  7331-7339

  2021-05-18

• Regret Bounds for Batched Bandits

  Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab Mirrokni

  7340-7348

  2021-05-18

• Almost Linear Time Density Level Set Estimation via DBSCAN

  Hossein Esfandiari, Vahab Mirrokni, Peilin Zhong

  7349-7357

  2021-05-18

• Deep Graph Spectral Evolution Networks for Graph Topological Evolution

  Negar Etemadyrad, Qingzhe Li, Liang Zhao

  7358-7366

  2021-05-18

• Adversarial Training and Provable Robustness: A Tale of Two Objectives

  Jiameng Fan, Wenchao Li

  7367-7376

  2021-05-18

• Learning a Gradient-free Riemannian Optimizer on Tangent Spaces

  Xiaomeng Fan, Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi

  7377-7384

  2021-05-18

• Learning to Reweight with Deep Interactions

  Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li

  7385-7393

  2021-05-18

• Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting

  Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas

  7394-7403

  2021-05-18

• UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks

  Boyuan Feng, Yuke Wang, Yufei Ding

  7404-7412

  2021-05-18

• SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations

  Hao-Zhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen

  7413-7421

  2021-05-18

• Learning to Augment for Data-scarce Domain BERT Knowledge Distillation

  Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen

  7422-7430

  2021-05-18

• Collaborative Group Learning

  Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun

  7431-7438

  2021-05-18

• Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression

  Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

  7439-7447

  2021-05-18

• Few-Shot One-Class Classification via Meta-Learning

  Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp

  7448-7456

  2021-05-18

• Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning

  Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu

  7457-7465

  2021-05-18

• Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment

  Mengying Fu, Tianning Yuan, Fang Wan, Songcen Xu, Qixiang Ye

  7466-7473

  2021-05-18

• Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

  Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha

  7474-7482

  2021-05-18

• HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles

  Ji Gan, Weiqiang Wang

  7484-7492

  2021-05-18

• Diffusion Network Inference from Partial Observations

  Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li

  7493-7500

  2021-05-18

• Stabilizing Q Learning Via Soft Mellowmax Operator

  Yaozhong Gan, Zhe Zhang, Xiaoyang Tan

  7501-7509

  2021-05-18