| 2019 | Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. | Kelvin Hsu, Fabio Ramos |
| 2019 | Modularity-based Sparse Soft Graph Clustering. | Alexandre Hollocou, Thomas Bonald, Marc Lelarge |
| 2019 | Classification using margin pursuit. | Matthew J. Holland |
| 2019 | Robust descent using smoothed multiplicative noise. | Matthew J. Holland |
| 2019 | Probabilistic Multilevel Clustering via Composite Transportation Distance. | Nhat Ho, Viet Huynh, Dinh Q. Phung, Michael I. Jordan |
| 2019 | Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers. | Marcel Hirt, Petros Dellaportas |
| 2019 | Performance Metric Elicitation from Pairwise Classifier Comparisons. | Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo |
| 2019 | XBART: Accelerated Bayesian Additive Regression Trees. | Jingyu He, Saar Yalov, P. Richard Hahn |
| 2019 | Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. | Hadrien Hendrikx, Francis R. Bach, Laurent Massouli |
| 2019 | Deep learning with differential Gaussian process flows. | Pashupati Hegde, Markus Heinonen, Harri Lhdesmki, Samuel Kaski |
| 2019 | The Termination Critic. | Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rmi Munos, Doina Precup |
| 2019 | Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches. | Filip Hanzely, Peter Richtrik |
| 2019 | Statistical Learning under Nonstationary Mixing Processes. | Steve Hanneke, Liu Yang |
| 2019 | Conditional Sparse $L_p$-norm Regression With Optimal Probability. | John Hainline, Brendan Juba, Hai S. Le, David P. Woodruff |
| 2019 | Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization. | Aditya Grover, Stefano Ermon |
| 2019 | Unsupervised Alignment of Embeddings with Wasserstein Procrustes. | Edouard Grave, Armand Joulin, Quentin Berthet |
| 2019 | An Online Algorithm for Smoothed Regression and LQR Control. | Gautam Goel, Adam Wierman |
| 2019 | A Swiss Army Infinitesimal Jackknife. | Ryan Giordano, William T. Stephenson, Runjing Liu, Michael I. Jordan, Tamara Broderick |
| 2019 | Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization. | Jaime Roquero Gimenez, James Y. Zou |
| 2019 | Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees. | Jaime Roquero Gimenez, Amirata Ghorbani, James Y. Zou |
| 2019 | Negative Momentum for Improved Game Dynamics. | Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Rmi Le Priol, Gabriel Huang, Simon Lacoste-Julien, Ioannis Mitliagkas |
| 2019 | Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets. | Mehrdad Ghadiri, Mark Schmidt |
| 2019 | Optimal Noise-Adding Mechanism in Additive Differential Privacy. | Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar |
| 2019 | Sample Complexity of Sinkhorn Divergences. | Aude Genevay, Lnac Chizat, Francis R. Bach, Marco Cuturi, Gabriel Peyr |
| 2019 | Probabilistic Forecasting with Spline Quantile Function RNNs. | Jan Gasthaus, Konstantinos Benidis, Yuyang Wang, Syama Sundar Rangapuram, David Salinas, Valentin Flunkert, Tim Januschowski |