Papers
Fast Information-theoretic Bayesian Optimisation
Binxin Ru, Michael A. Osborne, Mark Mcleod et al.
Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice
Alan Kuhnle, J. David Smith, Victoria Crawford et al.
Fast Parametric Learning with Activation Memorization
Jack Rae, Chris Dyer, Peter Dayan et al.
Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate
Mingrui Liu, Xiaoxuan Zhang, Zaiyi Chen et al.
Fast Variance Reduction Method with Stochastic Batch Size
Xuanqing Liu, Cho-Jui Hsieh
Feasible Arm Identification
Julian Katz-Samuels, Clay Scott
Feedback-Based Tree Search for Reinforcement Learning
Daniel Jiang, Emmanuel Ekwedike, Han Liu
Finding Influential Training Samples for Gradient Boosted Decision Trees
Boris Sharchilev, Yury Ustinovskiy, Pavel Serdyukov et al.
Firing Bandits: Optimizing Crowdfunding
Lalit Jain, Kevin Jamieson
First Order Generative Adversarial Networks
Calvin Seward, Thomas Unterthiner, Urs Bergmann et al.
Fitting New Speakers Based on a Short Untranscribed Sample
Eliya Nachmani, Adam Polyak, Yaniv Taigman et al.
Fixing a Broken ELBO
Alexander Alemi, Ben Poole, Ian Fischer et al.
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke, Konrad Żołna, Alessandro Sordoni et al.
Fourier Policy Gradients
Matthew Fellows, Kamil Ciosek, Shimon Whiteson
Frank-Wolfe with Subsampling Oracle
Thomas Kerdreux, Fabian Pedregosa, Alexandre d’Aspremont
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kaiqing Zhang, Zhuoran Yang, Han Liu et al.
Functional Gradient Boosting based on Residual Network Perception
Atsushi Nitanda, Taiji Suzuki
GAIN: Missing Data Imputation using Generative Adversarial Nets
Jinsung Yoon, James Jordon, Mihaela Schaar
Gated Path Planning Networks
Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot et al.
Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks
Brenden Lake, Marco Baroni
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction
Siyuan Qi, Baoxiong Jia, Song-Chun Zhu
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression
Haitao Liu, Jianfei Cai, Yi Wang et al.
Generative Temporal Models with Spatial Memory for Partially Observed Environments
Marco Fraccaro, Danilo Rezende, Yori Zwols et al.
Geodesic Convolutional Shape Optimization
Pierre Baque, Edoardo Remelli, Francois Fleuret et al.
Geometry Score: A Method For Comparing Generative Adversarial Networks
Valentin Khrulkov, Ivan Oseledets