Papers
Fast k-Nearest Neighbour Search via Prioritized DCI
Ke Li, Jitendra Malik
FeUdal Networks for Hierarchical Reinforcement Learning
Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul et al.
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU
Zeyuan Allen-Zhu, Yuanzhi Li
Follow the Moving Leader in Deep Learning
Shuai Zheng, James T. Kwok
Forest-type Regression with General Losses and Robust Forest
Alexander Hanbo Li, Andrew Martin
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi, Michele Donini, Paolo Frasconi et al.
Frame-based Data Factorizations
Sebastian Mair, Ahcène Boubekki, Ulf Brefeld
From Patches to Images: A Nonparametric Generative Model
Geng Ji, Michael C. Hughes, Erik B. Sudderth
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora, Rong Ge, Yingyu Liang et al.
Geometry of Neural Network Loss Surfaces via Random Matrix Theory
Jeffrey Pennington, Yasaman Bahri
Globally Induced Forest: A Prepruning Compression Scheme
Jean-Michel Begon, Arnaud Joly, Pierre Geurts
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
Alon Brutzkus, Amir Globerson
Global optimization of Lipschitz functions
Cédric Malherbe, Nicolas Vayatis
Gradient Boosted Decision Trees for High Dimensional Sparse Output
Si Si, Huan Zhang, S. Sathiya Keerthi et al.
Gradient Coding: Avoiding Stragglers in Distributed Learning
Rashish Tandon, Qi Lei, Alexandros G. Dimakis et al.
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
Junqi Tang, Mohammad Golbabaee, Mike E. Davies
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling
Hairong Liu, Zhenyao Zhu, Xiangang Li et al.
Grammar Variational Autoencoder
Matt J. Kusner, Brooks Paige, José Miguel Hernández-Lobato
Graph-based Isometry Invariant Representation Learning
Renata Khasanova, Pascal Frossard
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization
Li Shen, Wei Liu, Ganzhao Yuan et al.
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
Andrew An Bian, Joachim M. Buhmann, Andreas Krause et al.
Hierarchy Through Composition with Multitask LMDPs
Andrew M. Saxe, Adam C. Earle, Benjamin Rosman
High Dimensional Bayesian Optimization with Elastic Gaussian Process
Santu Rana, Cheng Li, Sunil Gupta et al.
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation
Zhuoran Yang, Krishnakumar Balasubramanian, Han Liu