Papers
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
Jian Guo, He He, Tong He et al.
GluonTS: Probabilistic and Neural Time Series Modeling in Python
Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider et al.
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
Yao Ma, Alex Olshevsky, Csaba Szepesvari et al.
GraKeL: A Graph Kernel Library in Python
Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios et al.
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent
Dominic Richards, Patrick Rebeschini
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh et al.
Harmless Overfitting: Using Denoising Autoencoders in Estimation of Distribution Algorithms
Malte Probst, Franz Rothlauf
High Dimensional Forecasting via Interpretable Vector Autoregression
William B. Nicholson, Ines Wilms, Jacob Bien et al.
High-dimensional Gaussian graphical models on network-linked data
Tianxi Li, Cheng Qian, Elizaveta Levina et al.
High-Dimensional Inference for Cluster-Based Graphical Models
Carson Eisenach, Florentina Bunea, Yang Ning et al.
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix
Cheng Yong Tang, Ethan X. Fang, Yuexiao Dong
High-dimensional Linear Discriminant Analysis Classifier for Spiked Covariance Model
Houssem Sifaou, Abla Kammoun, Mohamed-Slim Alouini
High-dimensional quantile tensor regression
Wenqi Lu, Zhongyi Zhu, Heng Lian
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space
Elisabeth Gassiat, Sylvain Le Corff, Luc Lehéricy
Importance Sampling Techniques for Policy Optimization
Alberto Maria Metelli, Matteo Papini, Nico Montali et al.
Joint Causal Inference from Multiple Contexts
Joris M. Mooij, Sara Magliacane, Tom Claassen
Kernel-estimated Nonparametric Overlap-Based Syncytial Clustering
Israel A. Almodóvar-Rivera, Ranjan Maitra
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda et al.
Kymatio: Scattering Transforms in Python
Mathieu Andreux, Tomás Angles, Georgios Exarchakis et al.
Learning and Interpreting Multi-Multi-Instance Learning Networks
Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion
Jiaying Gu, Qing Zhou
Learning Causal Networks via Additive Faithfulness
Kuang-Yao Lee, Tianqi Liu, Bing Li et al.