- Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Recommendation from Raw Data with Adaptive Compound Poisson Factorization. UAI 2019: 91-101 - Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf:
The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA. UAI 2019: 217-227 - Gregory W. Gundersen, Bianca Dumitrascu, Jordan T. Ash, Barbara E. Engelhardt:
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations. UAI 2019: 945-955 - Chuan Guo, Jared S. Frank, Kilian Q. Weinberger:
Low Frequency Adversarial Perturbation. UAI 2019: 1127-1137 - Danijar Hafner, Dustin Tran, Timothy P. Lillicrap, Alex Irpan, James Davidson:
Noise Contrastive Priors for Functional Uncertainty. UAI 2019: 905-914 - Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir:
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation. UAI 2019: 563-573 - Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas:
Approximate Inference in Structured Instances with Noisy Categorical Observations. UAI 2019: 412-421 - Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta, Iftikhar Ahamath Burhanuddin, Zheng Wen, Branislav Kveton:
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank. UAI 2019: 722-732 - Steven Holtzen, Todd D. Millstein, Guy Van den Broeck:
Generating and Sampling Orbits for Lifted Probabilistic Inference. UAI 2019: 985-994 - Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan:
Domain Generalization via Multidomain Discriminant Analysis. UAI 2019: 292-302 - Bingshan Hu, Nishant A. Mehta, Jianping Pan:
Problem-dependent Regret Bounds for Online Learning with Feedback Graphs. UAI 2019: 852-861 - Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste, Aaron C. Courville:
Probability Distillation: A Caveat and Alternatives. UAI 2019: 1212-1221 - Taoan Huang, Bohui Fang, Xiaohui Bei, Fei Fang:
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests. UAI 2019: 250-260 - Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar:
Guaranteed Scalable Learning of Latent Tree Models. UAI 2019: 883-893 - Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh:
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. UAI 2019: 809-819 - Duligur Ibeling, Thomas Icard:
On Open-Universe Causal Reasoning. UAI 2019: 1233-1243 - Craig Innes, Alex Lascarides:
Learning Factored Markov Decision Processes with Unawareness. UAI 2019: 123-133 - Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson:
Subspace Inference for Bayesian Deep Learning. UAI 2019: 1169-1179 - David D. Jensen, Javier Burroni, Matthew J. Rattigan:
Object Conditioning for Causal Inference. UAI 2019: 1072-1082 - Ray Jiang, Aldo Pacchiano, Tom Stepleton, Heinrich Jiang, Silvia Chiappa:
Wasserstein Fair Classification. UAI 2019: 862-872 - Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva:
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. UAI 2019: 616-626 - Christian Knoll, Franz Pernkopf:
Belief Propagation: Accurate Marginals or Accurate Partition Function - Where is the Difference? UAI 2019: 627-636 - Samuel Kolb, Pedro Zuidberg Dos Martires, Luc De Raedt:
How to Exploit Structure while Solving Weighted Model Integration Problems. UAI 2019: 744-754 - Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon:
Adaptive Hashing for Model Counting. UAI 2019: 271-280 - Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist, Thomas B. Schön:
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling. UAI 2019: 679-689 - Ondrej Kuzelka, Jesse Davis:
Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption. UAI 2019: 1138-1148 - Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier:
Perturbed-History Exploration in Stochastic Linear Bandits. UAI 2019: 530-540 - Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood:
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow. UAI 2019: 1039-1049 - Junkyu Lee, Radu Marinescu, Alexander Ihler, Rina Dechter:
A Weighted Mini-Bucket Bound for Solving Influence Diagram. UAI 2019: 1159-1168 - Sanghack Lee, Juan D. Correa, Elias Bareinboim:
General Identifiability with Arbitrary Surrogate Experiments. UAI 2019: 389-398