| 2018 | Differential Analysis of Directed Networks. | Min Ren, Dabao Zhang |
| 2018 | Nesting Probabilistic Programs. | Tom Rainforth |
| 2018 | Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields. | Rmi Le Priol, Alexandre Pich, Simon Lacoste-Julien |
| 2018 | Graph-based Clustering under Differential Privacy. | Rafael Pinot, Anne Morvan, Florian Yger, Cdric Gouy-Pailler, Jamal Atif |
| 2018 | Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation. | Nico Piatkowski, Katharina Morik |
| 2018 | Identification of Strong Edges in AMP Chain Graphs. | Jose M. Pea |
| 2018 | Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. | Aaron Palmer, Dipak K. Dey, Jinbo Bi |
| 2018 | Learning Fast Optimizers for Contextual Stochastic Integer Programs. | Vinod Nair, Dj Dvijotham, Iain Dunning, Oriol Vinyals |
| 2018 | Estimation of Personalized Effects Associated With Causal Pathways. | Razieh Nabi, Phyllis Kanki, Ilya Shpitser |
| 2018 | An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates. | Travis Moore, Weng-Keen Wong |
| 2018 | A unified probabilistic model for learning latent factors and their connectivities from high-dimensional data . | Ricardo Pio Monti, Aapo Hyvrinen |
| 2018 | Causal Learning for Partially Observed Stochastic Dynamical Systems. | Sren Wengel Mogensen, Daniel Malinsky, Niels Richard Hansen |
| 2018 | Sequential Learning under Probabilistic Constraints. | Amirhossein Meisami, Henry Lam, Chen Dong, Abhishek Pani |
| 2018 | Imaginary Kinematics. | Sabina Marchetti, Alessandro Antonucci |
| 2018 | Holistic Representations for Memorization and Inference. | Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier |
| 2018 | Block-Value Symmetries in Probabilistic Graphical Models. | Gagan Madan, Ankit Anand, Mausam, Parag Singla |
| 2018 | A Univariate Bound of Area Under ROC. | Siwei Lyu, Yiming Ying |
| 2018 | Finite-sample Bounds for Marginal MAP. | Qi Lou, Rina Dechter, Alexander Ihler |
| 2018 | Analysis of Thompson Sampling for Graphical Bandits Without the Graphs. | Fang Liu, Zizhan Zheng, Ness B. Shroff |
| 2018 | Join Graph Decomposition Bounds for Influence Diagrams. | Junkyu Lee, Alexander Ihler, Rina Dechter |
| 2018 | A Forest Mixture Bound for Block-Free Parallel Inference. | Neal Lawton, Greg Ver Steeg, Aram Galstyan |
| 2018 | Stochastic Layer-Wise Precision in Deep Neural Networks. | Griffin Lacey, Graham W. Taylor, Shawki Areibi |
| 2018 | Simple and practical algorithms for 𝓁 | Anastasios Kyrillidis |
| 2018 | PAC-Reasoning in Relational Domains. | Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert |
| 2018 | Max-margin learning with the Bayes factor. | Rahul G. Krishnan, Arjun Khandelwal, Rajesh Ranganath, David A. Sontag |