| 2018 | A Provable Algorithm for Learning Interpretable Scoring Systems. | Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker |
| 2018 | Differentially Private Regression with Gaussian Processes. | Michael T. Smith, Mauricio A. lvarez, Max Zwiessele, Neil D. Lawrence |
| 2018 | Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training. | Mathieu Sinn, Ambrish Rawat |
| 2018 | Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning. | Shashank Singh, Barnabs Pczos, Jian Ma |
| 2018 | Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. | Tomi Silander, Janne Lepp-aho, Elias Jsaari, Teemu Roos |
| 2018 | Matrix-normal models for fMRI analysis. | Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen |
| 2018 | Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. | Yanning Shen, Tianyi Chen, Georgios B. Giannakis |
| 2018 | Sum-Product-Quotient Networks. | Or Sharir, Amnon Shashua |
| 2018 | Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. | Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida |
| 2018 | Reducing Crowdsourcing to Graphon Estimation, Statistically. | Devavrat Shah, Christina E. Lee |
| 2018 | Contextual Bandits with Stochastic Experts. | Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai |
| 2018 | Human Interaction with Recommendation Systems. | Sven Schmit, Carlos Riquelme |
| 2018 | Combinatorial Semi-Bandits with Knapsacks. | Karthik Abinav Sankararaman, Aleksandrs Slivkins |
| 2018 | Solving lp-norm regularization with tensor kernels. | Saverio Salzo, Lorenzo Rosasco, Johan A. K. Suykens |
| 2018 | Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models. | Hugh Salimbeni, Stefanos Eleftheriadis, James Hensman |
| 2018 | Efficient Bandit Combinatorial Optimization Algorithm with Zero-suppressed Binary Decision Diagrams. | Shinsaku Sakaue, Masakazu Ishihata, Shin-ichi Minato |
| 2018 | Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models. | Ardavan Saeedi, Matthew D. Hoffman, Stephen J. DiVerdi, Asma Ghandeharioun, Matthew J. Johnson, Ryan P. Adams |
| 2018 | Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series. | Feras Saad, Vikash Mansinghka |
| 2018 | Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information. | Jakob Runge |
| 2018 | Direct Learning to Rank And Rerank. | Cynthia Rudin, Yining Wang |
| 2018 | An Analysis of Categorical Distributional Reinforcement Learning. | Mark Rowland, Marc G. Bellemare, Will Dabney, Rmi Munos, Yee Whye Teh |
| 2018 | Discriminative Learning of Prediction Intervals. | Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov |
| 2018 | Semi-Supervised Learning with Competitive Infection Models. | Nir Rosenfeld, Amir Globerson |
| 2018 | High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. | Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher |
| 2018 | A Generic Approach for Escaping Saddle points. | Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabs Pczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola |