| 2020 | Faster algorithms for Markov equivalence. | Zhongyi Hu, Robin Evans |
| 2020 | Nonparametric Fisher Geometry with Application to Density Estimation. | Andrew Holbrook, Shiwei Lan, Jeffrey Streets, Babak Shahbaba |
| 2020 | Learning to learn generative programs with Memoised Wake-Sleep. | Luke B. Hewitt, Tuan Anh Le, Joshua B. Tenenbaum |
| 2020 | Learning Behaviors with Uncertain Human Feedback. | Xu He, Haipeng Chen, Bo An |
| 2020 | Flexible Prior Elicitation via the Prior Predictive Distribution. | Marcelo Hartmann, Georgi Agiashvili, Paul C. Brkner, Arto Klami |
| 2020 | Improved Vector Pruning in Exact Algorithms for Solving POMDPs. | Eric A. Hansen, Thomas Bowman |
| 2020 | Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series. | Hermanni Hlv, Aapo Hyvrinen |
| 2020 | Risk Bounds for Low Cost Bipartite Ranking. | San Gultekin, John W. Paisley |
| 2020 | Differentially Private Small Dataset Release Using Random Projections. | Lovedeep Gondara, Ke Wang |
| 2020 | Batch norm with entropic regularization turns deterministic autoencoders into generative models. | Amur Ghose, Abdullah Rashwan, Pascal Poupart |
| 2020 | Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings. | Tal Friedman, Guy Van den Broeck |
| 2020 | Bounding the expected run-time of nonconvex optimization with early stopping. | Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo |
| 2020 | Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals. | Noam Finkelstein, Ilya Shpitser |
| 2020 | A SUPER* Algorithm to Optimize Paper Bidding in Peer Review. | Tanner Fiez, Nihar B. Shah, Lillian J. Ratliff |
| 2020 | IDA with Background Knowledge. | Zhuangyan Fang, Yangbo He |
| 2020 | Election Control by Manipulating Issue Significance. | Andrew Estornell, Sanmay Das, Edith Elkind, Yevgeniy Vorobeychik |
| 2020 | Evaluation of Causal Structure Learning Algorithms via Risk Estimation. | Marco Eigenmann, Sach Mukherjee, Marloes H. Maathuis |
| 2020 | Mixed-Membership Stochastic Block Models for Weighted Networks. | Adrien Dulac, ric Gaussier, Christine Largeron |
| 2020 | GPIRT: A Gaussian Process Model for Item Response Theory. | JBrandon Duck-Mayr, Roman Garnett, Jacob M. Montgomery |
| 2020 | Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes. | Or Dinari, Oren Freifeld |
| 2020 | Semi-bandit Optimization in the Dispersed Setting. | Travis Dick, Wesley Pegden, Maria-Florina Balcan |
| 2020 | Robust k-means++. | Amit Deshpande, Praneeth Kacham, Rameshwar Pratap |
| 2020 | Ordering Variables for Weighted Model Integration. | Vincent Derkinderen, Evert Heylen, Pedro Zuidberg Dos Martires, Samuel Kolb, Luc De Raedt |
| 2020 | Online Parameter-Free Learning of Multiple Low Variance Tasks. | Giulia Denevi, Massimiliano Pontil, Dimitrios Stamos |
| 2020 | The Indian Chefs Process. | Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Gl, Max Hinne, Philippe Gigure, Marcel van Gerven, Franois Laviolette |