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• Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning

  Jicong Fan, Yuqian Zhang, Madeleine Udell

  3842-3849

  2020-04-03

• Distributionally Robust Counterfactual Risk Minimization

  Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile

  3850-3857

  2020-04-03

• Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness

  Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning

  3858-3865

  2020-04-03

• Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption

  Peter Fenner, Edward Pyzer-Knapp

  3866-3873

  2020-04-03

• Learning Triple Embeddings from Knowledge Graphs

  Valeria Fionda, Giuseppe Pirrò

  3874-3881

  2020-04-03

• Training Decision Trees as Replacement for Convolution Layers

  Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkeljda Kasneci

  3882-3889

  2020-04-03

• Induction of Subgoal Automata for Reinforcement Learning

  Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson

  3890-3897

  2020-04-03

• Fast and Deep Graph Neural Networks

  Claudio Gallicchio, Alessio Micheli

  3898-3905

  2020-04-03

• On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank

  Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider

  3906-3913

  2020-04-03

• Adaptive Convolutional ReLUs

  Hongyang Gao, Lei Cai, Shuiwang Ji

  3914-3921

  2020-04-03

• Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations

  Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro

  3922-3929

  2020-04-03

• Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering

  Quanxue Gao, Wei Xia, Zhizhen Wan, Deyan Xie, Pu Zhang

  3930-3937

  2020-04-03

• Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis

  Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun

  3938-3945

  2020-04-03

• A Multi-Channel Neural Graphical Event Model with Negative Evidence

  Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei

  3946-3953

  2020-04-03

• Revisiting Bilinear Pooling: A Coding Perspective

  Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi

  3954-3961

  2020-04-03

• Improved Algorithms for Conservative Exploration in Bandits

  Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta

  3962-3969

  2020-04-03

• Modeling Dialogues with Hashcode Representations: A Nonparametric Approach

  Sahil Garg, Irina Rish, Guillermo Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan

  3970-3979

  2020-04-03

• Reinforcement Learning with Non-Markovian Rewards

  Maor Gaon, Ronen Brafman

  3980-3987

  2020-04-03

• Diachronic Embedding for Temporal Knowledge Graph Completion

  Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart

  3988-3995

  2020-04-03

• Adversarially Robust Distillation

  Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein

  3996-4003

  2020-04-03

• Robust Gradient-Based Markov Subsampling

  Tieliang Gong, Quanhan Xi, Chen Xu

  4004-4011

  2020-04-03

• Online Metric Learning for Multi-Label Classification

  Xiuwen Gong, Dong Yuan, Wei Bao

  4012-4019

  2020-04-03

• Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

  Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi

  4020-4027

  2020-04-03

• AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows

  Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon

  4028-4035

  2020-04-03

• Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack

  Ziwei Guan, Kaiyi Ji, Donald J. Bucci Jr., Timothy Y. Hu, Joseph Palombo, Michael Liston, Yingbin Liang

  4036-4043

  2020-04-03