| 2019 | Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests. | Taoan Huang, Bohui Fang, Xiaohui Bei, Fei Fang |
| 2019 | Probability Distillation: A Caveat and Alternatives. | Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste, Aaron C. Courville |
| 2019 | Domain Generalization via Multidomain Discriminant Analysis. | Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan |
| 2019 | Generating and Sampling Orbits for Lifted Probabilistic Inference. | Steven Holtzen, Todd D. Millstein, Guy Van den Broeck |
| 2019 | Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank. | Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta, Iftikhar Ahamath Burhanuddin, Zheng Wen, Branislav Kveton |
| 2019 | Approximate Inference in Structured Instances with Noisy Categorical Observations. | Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas |
| 2019 | Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation. | Manuel Haumann, Fred A. Hamprecht, Melih Kandemir |
| 2019 | Noise Contrastive Priors for Functional Uncertainty. | Danijar Hafner, Dustin Tran, Timothy P. Lillicrap, Alex Irpan, James Davidson |
| 2019 | Low Frequency Adversarial Perturbation. | Chuan Guo, Jared S. Frank, Kilian Q. Weinberger |
| 2019 | End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations. | Gregory W. Gundersen, Bianca Dumitrascu, Jordan T. Ash, Barbara E. Engelhardt |
| 2019 | The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA. | Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schlkopf |
| 2019 | Recommendation from Raw Data with Adaptive Compound Poisson Factorization. | Olivier Gouvert, Thomas Oberlin, Cdric Fvotte |
| 2019 | Social Reinforcement Learning to Combat Fake News Spread. | Mahak Goindani, Jennifer Neville |
| 2019 | Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data. | Naman Goel, Boi Faltings |
| 2019 | Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning. | Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee |
| 2019 | Active Multi-Information Source Bayesian Quadrature. | Alexandra Gessner, Javier Gonzalez, Maren Mahsereci |
| 2019 | Joint Nonparametric Precision Matrix Estimation with Confounding. | Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo |
| 2019 | Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory. | Philipp Geiger, Michel Besserve, Justus Winkelmann, Claudius Proissl, Bernhard Schlkopf |
| 2019 | Learning Belief Representations for Imitation Learning in POMDPs. | Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng |
| 2019 | Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation. | Tho Galy-Fajou, Florian Wenzel, Christian Donner, Manfred Opper |
| 2019 | Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias. | Patrick Forr, Joris M. Mooij |
| 2019 | P3O: Policy-on Policy-off Policy Optimization. | Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola |
| 2019 | Efficient Neural Network Verification with Exactness Characterization. | Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli |
| 2019 | A Bayesian Approach to Robust Reinforcement Learning. | Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor |
| 2019 | Randomized Iterative Algorithms for Fisher Discriminant Analysis. | Agniva Chowdhury, Jiasen Yang, Petros Drineas |