| 2019 | Does data interpolation contradict statistical optimality? | Mikhail Belkin, Alexander Rakhlin, Alexandre B. Tsybakov |
| 2019 | Resampled Priors for Variational Autoencoders. | Matthias Bauer, Andriy Mnih |
| 2019 | Linear Queries Estimation with Local Differential Privacy. | Raef Bassily |
| 2019 | From Cost-Sensitive to Tight F-measure Bounds. | Kevin Bascol, Rmi Emonet, lisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban |
| 2019 | On the Interaction Effects Between Prediction and Clustering. | Matt Barnes, Artur Dubrawski |
| 2019 | Optimizing over a Restricted Policy Class in MDPs. | Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis |
| 2019 | Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials. | Onur Atan, William R. Zame, Mihaela van der Schaar |
| 2019 | Modeling simple structures and geometry for better stochastic optimization algorithms. | Hilal Asi, John C. Duchi |
| 2019 | Fast and Robust Shortest Paths on Manifolds Learned from Data. | Georgios Arvanitidis, Sren Hauberg, Philipp Hennig, Michael Schober |
| 2019 | Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. | Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian |
| 2019 | Efficient Bayes Risk Estimation for Cost-Sensitive Classification. | Daniel Andrade, Yuzuru Okajima |
| 2019 | Structured Robust Submodular Maximization: Offline and Online Algorithms. | Nima Anari, Nika Haghtalab, Seffi Naor, Sebastian Pokutta, Mohit Singh, Alfredo Torrico |
| 2019 | Two-temperature logistic regression based on the Tsallis divergence. | Ehsan Amid, Manfred K. Warmuth, Sriram Srinivasan |
| 2019 | Forward Amortized Inference for Likelihood-Free Variational Marginalization. | Luca Ambrogioni, Umut Gl, Julia Berezutskaya, Eva W. P. van den Borne, Yagmur Gltrk, Max Hinne, Eric Maris, Marcel van Gerven |
| 2019 | SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity. | Luca Ambrogioni, Patrick Ebel, Max Hinne, Umut Gl, Marcel van Gerven, Eric Maris |
| 2019 | Fisher Information and Natural Gradient Learning in Random Deep Networks. | Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi |
| 2019 | Non-linear process convolutions for multi-output Gaussian processes. | Mauricio A. lvarez, Wil O. C. Ward, Cristian Guarnizo |
| 2019 | Towards Optimal Transport with Global Invariances. | David Alvarez-Melis, Stefanie Jegelka, Tommi S. Jaakkola |
| 2019 | A Continuous-Time View of Early Stopping for Least Squares Regression. | Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani |
| 2019 | ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery. | Raj Agrawal, Chandler Squires, Karren D. Yang, Karthikeyan Shanmugam, Caroline Uhler |
| 2019 | Data-dependent compression of random features for large-scale kernel approximation. | Raj Agrawal, Trevor Campbell, Jonathan H. Huggins, Tamara Broderick |
| 2019 | Efficient Inference in Multi-task Cox Process Models. | Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla |
| 2019 | Local Saddle Point Optimization: A Curvature Exploitation Approach. | Leonard Adolphs, Hadi Daneshmand, Aurlien Lucchi, Thomas Hofmann |
| 2019 | Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. | Jayadev Acharya, Ziteng Sun, Huanyu Zhang |
| 2019 | Test without Trust: Optimal Locally Private Distribution Testing. | Jayadev Acharya, Clment L. Canonne, Cody Freitag, Himanshu Tyagi |