| 2018 | Adaptive Sampling for Coarse Ranking. | Sumeet Katariya, Lalit K. Jain, Nandana Sengupta, James Evans, Robert Nowak |
| 2018 | Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis. | Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra |
| 2018 | Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems. | Sai Praneeth Reddy Karimireddy, Sebastian U. Stich, Martin Jaggi |
| 2018 | Factor Analysis on a Graph. | Masayuki Karasuyama, Hiroshi Mamitsuka |
| 2018 | Parallelised Bayesian Optimisation via Thompson Sampling. | Kirthevasan Kandasamy, Akshay Krishnamurthy, Jeff Schneider, Barnabs Pczos |
| 2018 | Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control. | Sanket Kamthe, Marc Peter Deisenroth |
| 2018 | Policy Evaluation and Optimization with Continuous Treatments. | Nathan Kallus, Angela Zhou |
| 2018 | Nonparametric Bayesian sparse graph linear dynamical systems. | Rahi Kalantari, Joydeep Ghosh, Mingyuan Zhou |
| 2018 | Online Boosting Algorithms for Multi-label Ranking. | Young Hun Jung, Ambuj Tewari |
| 2018 | Efficient Bayesian Methods for Counting Processes in Partially Observable Environments. | Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes |
| 2018 | Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy. | Bai Jiang |
| 2018 | Scalable Generalized Dynamic Topic Models. | Patrick Jhnichen, Florian Wenzel, Marius Kloft, Stephan Mandt |
| 2018 | Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition. | Pavel Izmailov, Alexander Novikov, Dmitry Kropotov |
| 2018 | Online Regression with Partial Information: Generalization and Linear Projection. | Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi |
| 2018 | Statistically Efficient Estimation for Non-Smooth Probability Densities. | Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida |
| 2018 | Multi-view Metric Learning in Vector-valued Kernel Spaces. | Riikka Huusari, Hachem Kadri, Ccile Capponi |
| 2018 | SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning. | Xu Hu, Guillaume Obozinski |
| 2018 | Semi-Supervised Prediction-Constrained Topic Models. | Michael C. Hughes, Gabriel Hope, Leah Weiner, Thomas H. McCoy Jr., Roy H. Perlis, Erik B. Sudderth, Finale Doshi-Velez |
| 2018 | A Unified Dynamic Approach to Sparse Model Selection. | Chendi Huang, Yuan Yao |
| 2018 | Cheap Checking for Cloud Computing: Statistical Analysis via Annotated Data Streams. | Chris Hickey, Graham Cormode |
| 2018 | Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data. | William Herlands, Edward McFowland, Andrew Gordon Wilson, Daniel B. Neill |
| 2018 | Approximate ranking from pairwise comparisons. | Reinhard Heckel, Max Simchowitz, Kannan Ramchandran, Martin J. Wainwright |
| 2018 | Derivative Free Optimization Via Repeated Classification. | Tatsunori Hashimoto, Steve Yadlowsky, John C. Duchi |
| 2018 | Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach. | Satoshi Hara, Kohei Hayashi |
| 2018 | Combinatorial Penalties: Which structures are preserved by convex relaxations? | Marwa El Halabi, Francis R. Bach, Volkan Cevher |