Papers
Goodness-of-Fit Tests for Inhomogeneous Random Graphs
Soham Dan, Bhaswar B. Bhattacharya
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Mao Ye, Chengyue Gong, Lizhen Nie et al.
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
Denny Zhou, Mao Ye, Chen Chen et al.
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
Shangtong Zhang, Bo Liu, Shimon Whiteson
Gradient-free Online Learning in Continuous Games with Delayed Rewards
Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
Gradient Temporal-Difference Learning with Regularized Corrections
Sina Ghiassian, Andrew Patterson, Shivam Garg et al.
Graph-based Nearest Neighbor Search: From Practice to Theory
Liudmila Prokhorenkova, Aleksandr Shekhovtsov
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Michihiro Yasunaga, Percy Liang
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Wenhui Yu, Zheng Qin
Graph Filtration Learning
Christoph Hofer, Florian Graf, Bastian Rieck et al.
Graph Homomorphism Convolution
Hoang Nguyen, Takanori Maehara
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach
Tong Yu, Branislav Kveton, Zheng Wen et al.
Graph Optimal Transport for Cross-Domain Alignment
Liqun Chen, Zhe Gan, Yu Cheng et al.
GraphOpt: Learning Optimization Models of Graph Formation
Rakshit Trivedi, Jiachen Yang, Hongyuan Zha
Graph Random Neural Features for Distance-Preserving Graph Representations
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Graph Structure of Neural Networks
Jiaxuan You, Jure Leskovec, Kaiming He et al.
Growing Action Spaces
Gregory Farquhar, Laura Gustafson, Zeming Lin et al.
Growing Adaptive Multi-hyperplane Machines
Nemanja Djuric, Zhuang Wang, Slobodan Vucetic
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
Rie Johnson, Tong Zhang
Haar Graph Pooling
Yu Guang Wang, Ming Li, Zheng Ma et al.
Hallucinative Topological Memory for Zero-Shot Visual Planning
Kara Liu, Thanard Kurutach, Christine Tung et al.
Handling the Positive-Definite Constraint in the Bayesian Learning Rule
Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan
Harmonic Decompositions of Convolutional Networks
Meyer Scetbon, Zaid Harchaoui
Healing Products of Gaussian Process Experts
Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala et al.
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin, Dr.Regina Barzilay, Tommi Jaakkola