| 2018 | GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. | Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung |
| 2018 | Non-Parametric Path Analysis in Structural Causal Models. | Junzhe Zhang, Elias Bareinboim |
| 2018 | Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. | Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King |
| 2018 | f | Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose |
| 2018 | IDK Cascades: Fast Deep Learning by Learning not to Overthink. | Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez |
| 2018 | Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. | Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha |
| 2018 | Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain. | Yu-Xiang Wang |
| 2018 | How well does your sampler really work? | Ryan Turner, Brady Neal |
| 2018 | Scalable Algorithms for Learning High-Dimensional Linear Mixed Models. | Zilong Tan, Kimberly Roche, Xiang Zhou, Sayan Mukherjee |
| 2018 | The Indian Buffet Hawkes Process to Model Evolving Latent Influences. | Xi Tan, Vinayak A. Rao, Jennifer Neville |
| 2018 | Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms. | Adarsh Subbaswamy, Suchi Saria |
| 2018 | Understanding Measures of Uncertainty for Adversarial Example Detection. | Lewis Smith, Yarin Gal |
| 2018 | Identification of Personalized Effects Associated With Causal Pathways. | Ilya Shpitser, Eli Sherman |
| 2018 | Acyclic Linear SEMs Obey the Nested Markov Property. | Ilya Shpitser, Robin J. Evans, Thomas S. Richardson |
| 2018 | Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models. | Tatiana Shpakova, Francis R. Bach, Anton Osokin |
| 2018 | Multi-Target Optimisation via Bayesian Optimisation and Linear Programming. | Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2018 | Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. | Craig Sherstan, Dylan R. Ashley, Brendan Bennett, Kenny Young, Adam White, Martha White, Richard S. Sutton |
| 2018 | Lifted Marginal MAP Inference. | Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla |
| 2018 | Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling. | Sihyeon Seong, Yegang Lee, Youngwook Kee, Dongyoon Han, Junmo Kim |
| 2018 | Probabilistic Collaborative Representation Learning for Personalized Item Recommendation. | Aghiles Salah, Hady W. Lauw |
| 2018 | High-confidence error estimates for learned value functions. | Touqir Sajed, Wesley Chung, Martha White |
| 2018 | Battle of Bandits. | Aadirupa Saha, Aditya Gopalan |
| 2018 | Meta Reinforcement Learning with Latent Variable Gaussian Processes. | Steindr Smundsson, Katja Hofmann, Marc Peter Deisenroth |
| 2018 | Adaptive Stratified Sampling for Precision-Recall Estimation. | Ashish Sabharwal, Yexiang Xue |
| 2018 | From Deterministic ODEs to Dynamic Structural Causal Models. | Paul K. Rubenstein, Stephan Bongers, Joris M. Mooij, Bernhard Schlkopf |