| 2018 | Robust Maximization of Non-Submodular Objectives. | Ilija Bogunovic, Junyao Zhao, Volkan Cevher |
| 2018 | Smooth and Sparse Optimal Transport. | Mathieu Blondel, Vivien Seguy, Antoine Rolet |
| 2018 | Cause-Effect Inference by Comparing Regression Errors. | Patrick Blbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schlkopf |
| 2018 | Group invariance principles for causal generative models. | Michel Besserve, Naji Shajarisales, Bernhard Schlkopf, Dominik Janzing |
| 2018 | Tree-based Bayesian Mixture Model for Competing Risks. | Alexis Bellot, Mihaela van der Schaar |
| 2018 | Factorized Recurrent Neural Architectures for Longer Range Dependence. | Francois Belletti, Alex Beutel, Sagar Jain, Ed Huai-hsin Chi |
| 2018 | Personalized and Private Peer-to-Peer Machine Learning. | Aurlien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi |
| 2018 | Few-shot Generative Modelling with Generative Matching Networks. | Sergey Bartunov, Dmitry P. Vetrov |
| 2018 | Robust Locally-Linear Controllable Embedding. | Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi |
| 2018 | Medoids in Almost-Linear Time via Multi-Armed Bandits. | Vivek Kumar Bagaria, Govinda M. Kamath, Vasilis Ntranos, Martin J. Zhang, David Tse |
| 2018 | One-shot Coresets: The Case of k-Clustering. | Olivier Bachem, Mario Lucic, Silvio Lattanzi |
| 2018 | Robust Vertex Enumeration for Convex Hulls in High Dimensions. | Pranjal Awasthi, Bahman Kalantari, Yikai Zhang |
| 2018 | Kernel Conditional Exponential Family. | Michael Arbel, Arthur Gretton |
| 2018 | Bayesian Structure Learning for Dynamic Brain Connectivity. | Michael Riis Andersen, Ole Winther, Lars Kai Hansen, Russell A. Poldrack, Oluwasanmi Koyejo |
| 2018 | Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis. | Luca Ambrogioni, Eric Maris |
| 2018 | Structured Optimal Transport. | David Alvarez-Melis, Tommi S. Jaakkola, Stefanie Jegelka |
| 2018 | Proximity Variational Inference. | Jaan Altosaar, Rajesh Ranganath, David M. Blei |
| 2018 | Gauged Mini-Bucket Elimination for Approximate Inference. | Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller |
| 2018 | Stochastic algorithms for entropy-regularized optimal transport problems. | Brahim Khalil Abid, Robert M. Gower |
| 2018 | AdaGeo: Adaptive Geometric Learning for Optimization and Sampling. | Gabriele Abbati, Alessandra Tosi, Michael A. Osborne, Seth R. Flaxman |
| 2018 | Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond. | Heng Guo, Kaan Kara, Ce Zhang |
| 2018 | Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications. | Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero III |
| 2017 | Learning Theory for Conditional Risk Minimization. | Alexander Zimin, Christoph H. Lampert |
| 2017 | Learning Nonparametric Forest Graphical Models with Prior Information. | Yuancheng Zhu, Zhe Liu, Siqi Sun |
| 2017 | Scaling Submodular Maximization via Pruned Submodularity Graphs. | Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin |