| 2019 | Projection Free Online Learning over Smooth Sets. | Kfir Y. Levy, Andreas Krause |
| 2019 | Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. | Gal Letarte, Emilie Morvant, Pascal Germain |
| 2019 | An Optimal Control Approach to Sequential Machine Teaching. | Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu |
| 2019 | Gaussian Process Modulated Cox Processes under Linear Inequality Constraints. | Andrs F. Lpez-Lopera, S. T. John, Nicolas Durrande |
| 2019 | Adaptive Estimation for Approximate | Daniel LeJeune, Reinhard Heckel, Richard G. Baraniuk |
| 2019 | Temporal Quilting for Survival Analysis. | Changhee Lee, William R. Zame, Ahmed M. Alaa, Mihaela van der Schaar |
| 2019 | A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. | Juho Lee, Lancelot F. James, Seungjin Choi, Francois Caron |
| 2019 | Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. | Emanuel Laude, Tao Wu, Daniel Cremers |
| 2019 | Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring. | Alexander F. Lapanowski, Irina Gaynanova |
| 2019 | Block Stability for MAP Inference. | Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan |
| 2019 | Autoencoding any Data through Kernel Autoencoders. | Pierre Laforgue, Stphan Clmenon, Florence d'Alch-Buc |
| 2019 | Risk-Sensitive Generative Adversarial Imitation Learning. | Jonathan Lacotte, Mohammad Ghavamzadeh, Yinlam Chow, Marco Pavone |
| 2019 | Lifted Weight Learning of Markov Logic Networks Revisited. | Ondrej Kuzelka, Vyacheslav Kungurtsev |
| 2019 | Efficient Linear Bandits through Matrix Sketching. | Ilja Kuzborskij, Leonardo Cella, Nicol Cesa-Bianchi |
| 2019 | Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time. | Dan Kushnir, Shirin Jalali, Iraj Saniee |
| 2019 | Semi-supervised clustering for de-duplication. | Shrinu Kushagra, Shai Ben-David, Ihab F. Ilyas |
| 2019 | Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features. | Julius von Kgelgen, Alexander Mey, Marco Loog |
| 2019 | Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning. | Tadashi Kozuno, Eiji Uchibe, Kenji Doya |
| 2019 | Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator. | Seyoon Ko, Joong-Ho Won |
| 2019 | Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization. | Jonas Moritz Kohler, Hadi Daneshmand, Aurlien Lucchi, Thomas Hofmann, Ming Zhou, Klaus Neymeyr |
| 2019 | Efficient Bayesian Experimental Design for Implicit Models. | Steven Kleinegesse, Michael U. Gutmann |
| 2019 | Interpreting Black Box Predictions using Fisher Kernels. | Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo |
| 2019 | Restarting Frank-Wolfe. | Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta |
| 2019 | Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models. | Craig Kelly, Somdeb Sarkhel, Deepak Venugopal |
| 2019 | Gaussian Process Latent Variable Alignment Learning. | Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell |