| 2018 | Exploiting Strategy-Space Diversity for Batch Bayesian Optimization. | Sunil Gupta, Alistair Shilton, Santu Rana, Svetha Venkatesh |
| 2018 | Asynchronous Doubly Stochastic Group Regularized Learning. | Bin Gu, Zhouyuan Huo, Heng Huang |
| 2018 | Plug-in Estimators for Conditional Expectations and Probabilities. | Steffen Grnewlder |
| 2018 | Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy. | Amit Gruber, Chen Yanover, Tal El-Hay, Anders Snnerborg, Vanni Borghi, Francesca Incardona, Yaara Goldschmidt |
| 2018 | Best arm identification in multi-armed bandits with delayed feedback. | Aditya Grover, Todor M. Markov, Peter M. Attia, Norman Jin, Nicolas Perkins, Bryan Cheong, Michael H. Chen, Zi Yang, Stephen J. Harris, William C. Chueh, Stefano Ermon |
| 2018 | Variational Rejection Sampling. | Aditya Grover, Ramki Gummadi, Miguel Lzaro-Gredilla, Dale Schuurmans, Stefano Ermon |
| 2018 | Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods. | Robert M. Gower, Nicolas Le Roux, Francis R. Bach |
| 2018 | Weighted Tensor Decomposition for Learning Latent Variables with Partial Data. | Omer Gottesman, Weiwei Pan, Finale Doshi-Velez |
| 2018 | Frank-Wolfe Splitting via Augmented Lagrangian Method. | Gauthier Gidel, Fabian Pedregosa, Simon Lacoste-Julien |
| 2018 | Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity. | Asish Ghoshal, Jean Honorio |
| 2018 | Learning linear structural equation models in polynomial time and sample complexity. | Asish Ghoshal, Jean Honorio |
| 2018 | Turing: Composable inference for probabilistic programming. | Hong Ge, Kai Xu, Zoubin Ghahramani |
| 2018 | Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems. | Jason Ge, Zhaoran Wang, Mengdi Wang, Han Liu |
| 2018 | Learning Generative Models with Sinkhorn Divergences. | Aude Genevay, Gabriel Peyr, Marco Cuturi |
| 2018 | Product Kernel Interpolation for Scalable Gaussian Processes. | Jacob R. Gardner, Geoff Pleiss, Ruihan Wu, Kilian Q. Weinberger, Andrew Gordon Wilson |
| 2018 | Online Learning with Non-Convex Losses and Non-Stationary Regret. | Xiand Gao, Xiaobo Li, Shuzhong Zhang |
| 2018 | Variational Inference based on Robust Divergences. | Futoshi Futami, Issei Sato, Masashi Sugiyama |
| 2018 | Robustness of classifiers to uniform $\ell_p$ and Gaussian noise. | Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi |
| 2018 | Mixed Membership Word Embeddings for Computational Social Science. | James R. Foulds |
| 2018 | Inference in Sparse Graphs with Pairwise Measurements and Side Information. | Dylan J. Foster, Karthik Sridharan, Daniel Reichman |
| 2018 | Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means. | Dennis Forster, Jrg Lcke |
| 2018 | Efficient Weight Learning in High-Dimensional Untied MLNs. | Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal |
| 2018 | The Binary Space Partitioning-Tree Process. | Xuhui Fan, Bin Li, Scott A. Sisson |
| 2018 | Statistical Sparse Online Regression: A Diffusion Approximation Perspective. | Jianqing Fan, Wenyan Gong, Chris Junchi Li, Qiang Sun |
| 2018 | Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. | Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro |