| 2019 | Unbiased Implicit Variational Inference. | Michalis K. Titsias, Francisco J. R. Ruiz |
| 2019 | A Unified Weight Learning Paradigm for Multi-view Learning. | Lai Tian, Feiping Nie, Xuelong Li |
| 2019 | Lifting high-dimensional non-linear models with Gaussian regressors. | Christos Thrampoulidis, Ankit Singh Rawat |
| 2019 | Sketching for Latent Dirichlet-Categorical Models. | Joseph Tassarotti, Jean-Baptiste Tristan, Michael L. Wick |
| 2019 | Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function. | Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak |
| 2019 | Active Exploration in Markov Decision Processes. | Jean Tarbouriech, Alessandro Lazaric |
| 2019 | Conditionally Independent Multiresolution Gaussian Processes. | Jalil Taghia, Thomas B. Schn |
| 2019 | On Kernel Derivative Approximation with Random Fourier Features. | Zoltn Szab, Bharath K. Sriperumbudur |
| 2019 | Least Squares Estimation of Weakly Convex Functions. | Sun Sun, Yaoliang Yu |
| 2019 | Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation. | Mingming Sun, Ping Li |
| 2019 | Are we there yet? Manifold identification of gradient-related proximal methods. | Yifan Sun, Halyun Jeong, Julie Nutini, Mark Schmidt |
| 2019 | Revisiting Adversarial Risk. | Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar |
| 2019 | Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport. | Adarsh Subbaswamy, Peter Schulam, Suchi Saria |
| 2019 | Data-Driven Approach to Multiple-Source Domain Adaptation. | Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang |
| 2019 | Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. | Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang |
| 2019 | Distributionally Robust Submodular Maximization. | Matthew Staib, Bryan Wilder, Stefanie Jegelka |
| 2019 | Learning Controllable Fair Representations. | Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon |
| 2019 | A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. | Jialin Song, Yuxin Chen, Yisong Yue |
| 2019 | No-regret algorithms for online | Tasuku Soma |
| 2019 | Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features. | Arno Solin, Manon Kok |
| 2019 | Training Variational Autoencoders with Buffered Stochastic Variational Inference. | Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon |
| 2019 | A new evaluation framework for topic modeling algorithms based on synthetic corpora. | Hanyu Shi, Martin Gerlach, Isabel Diersen, Doug Downey, Luis A. Nunes Amaral |
| 2019 | Harmonizable mixture kernels with variational Fourier features. | Zheyang Shen, Markus Heinonen, Samuel Kaski |
| 2019 | Complexities in Projection-Free Stochastic Non-convex Minimization. | Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian |
| 2019 | Robust Matrix Completion from Quantized Observations. | Jie Shen, Pranjal Awasthi, Ping Li |