| 2019 | Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. | Smitha Milli, Anca D. Dragan |
| 2019 | Embarrassingly Parallel MCMC using Deep Invertible Transformations. | Diego Mesquita, Paul Blomstedt, Samuel Kaski |
| 2019 | On Densification for Minwise Hashing. | Tung Mai, Anup Rao, Matt Kapilevich, Ryan A. Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha |
| 2019 | Off-Policy Policy Gradient with Stationary Distribution Correction. | Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill |
| 2019 | Random Search and Reproducibility for Neural Architecture Search. | Liam Li, Ameet Talwalkar |
| 2019 | On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function. | Xingguo Li, Haoming Jiang, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao |
| 2019 | Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow. | Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood |
| 2019 | Towards Robust Relational Causal Discovery. | Sanghack Lee, Vasant G. Honavar |
| 2019 | General Identifiability with Arbitrary Surrogate Experiments. | Sanghack Lee, Juan D. Correa, Elias Bareinboim |
| 2019 | A Weighted Mini-Bucket Bound for Solving Influence Diagram. | Junkyu Lee, Radu Marinescu, Alexander Ihler, Rina Dechter |
| 2019 | Perturbed-History Exploration in Stochastic Linear Bandits. | Branislav Kveton, Csaba Szepesvri, Mohammad Ghavamzadeh, Craig Boutilier |
| 2019 | Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption. | Ondrej Kuzelka, Jesse Davis |
| 2019 | Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling. | Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist, Thomas B. Schn |
| 2019 | Adaptive Hashing for Model Counting. | Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon |
| 2019 | How to Exploit Structure while Solving Weighted Model Integration Problems. | Samuel Kolb, Pedro Zuidberg Dos Martires, Luc De Raedt |
| 2019 | Belief Propagation: Accurate Marginals or Accurate Partition Function - Where is the Difference? | Christian Knoll, Franz Pernkopf |
| 2019 | The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. | Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva |
| 2019 | Wasserstein Fair Classification. | Ray Jiang, Aldo Pacchiano, Tom Stepleton, Heinrich Jiang, Silvia Chiappa |
| 2019 | Object Conditioning for Causal Inference. | David D. Jensen, Javier Burroni, Matthew J. Rattigan |
| 2019 | Subspace Inference for Bayesian Deep Learning. | Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson |
| 2019 | Learning Factored Markov Decision Processes with Unawareness. | Craig Innes, Alex Lascarides |
| 2019 | On Open-Universe Causal Reasoning. | Duligur Ibeling, Thomas Icard |
| 2019 | Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. | Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh |
| 2019 | Problem-dependent Regret Bounds for Online Learning with Feedback Graphs. | Bingshan Hu, Nishant A. Mehta, Jianping Pan |
| 2019 | Guaranteed Scalable Learning of Latent Tree Models. | Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar |