Papers
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack
Ziwei Guan, Kaiyi Ji, Donald J. Bucci Jr. et al.
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
Aditya Grover, Christopher Chute, Rui Shu et al.
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
Yongshun Gong, Zhibin Li, Jian Zhang et al.
Online Metric Learning for Multi-Label Classification
Xiuwen Gong, Dong Yuan, Wei Bao
Robust Gradient-Based Markov Subsampling
Tieliang Gong, Quanhan Xi, Chen Xu
Adversarially Robust Distillation
Micah Goldblum, Liam Fowl, Soheil Feizi et al.
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker et al.
Reinforcement Learning with Non-Markovian Rewards
Maor Gaon, Ronen Brafman
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
Sahil Garg, Irina Rish, Guillermo Cecchi et al.
Improved Algorithms for Conservative Exploration in Bandits
Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric et al.
Revisiting Bilinear Pooling: A Coding Perspective
Zhi Gao, Yuwei Wu, Xiaoxun Zhang et al.
A Multi-Channel Neural Graphical Event Model with Negative Evidence
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam et al.
Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis
Quanxue Gao, Huanhuan Lian, Qianqian Wang et al.
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering
Quanxue Gao, Wei Xia, Zhizhen Wan et al.
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations
Jianfei Gao, Mohamed A. Zahran, Amit Sheoran et al.
Adaptive Convolutional ReLUs
Hongyang Gao, Lei Cai, Shuiwang Ji
On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank
Robert Ganian, Iyad Kanj, Sebastian Ordyniak et al.
Fast and Deep Graph Neural Networks
Claudio Gallicchio, Alessio Micheli
Induction of Subgoal Automata for Reinforcement Learning
Daniel Furelos-Blanco, Mark Law, Alessandra Russo et al.
Training Decision Trees as Replacement for Convolution Layers
Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel et al.
Learning Triple Embeddings from Knowledge Graphs
Valeria Fionda, Giuseppe Pirrò
Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption
Peter Fenner, Edward Pyzer-Knapp
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
Huijie Feng, Chunpeng Wu, Guoyang Chen et al.
Distributionally Robust Counterfactual Risk Minimization
Louis Faury, Ugo Tanielian, Elvis Dohmatob et al.