| 2018 | Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression. | Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon |
| 2018 | Practical Bayesian optimization in the presence of outliers. | Ruben Martinez-Cantin, Kevin Tee, Michael McCourt |
| 2018 | Teacher Improves Learning by Selecting a Training Subset. | Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu |
| 2018 | A Fast Algorithm for Separated Sparsity via Perturbed Lagrangians. | Aleksander Madry, Slobodan Mitrovic, Ludwig Schmidt |
| 2018 | Boosting Variational Inference: an Optimization Perspective. | Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rtsch |
| 2018 | Nonlinear Weighted Finite Automata. | Tianyu Li, Guillaume Rabusseau, Doina Precup |
| 2018 | Reparameterizing the Birkhoff Polytope for Variational Permutation Inference. | Scott W. Linderman, Gonzalo E. Mena, Hal James Cooper, Liam Paninski, John P. Cunningham |
| 2018 | Multi-scale Nystrom Method. | Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park |
| 2018 | Labeled Graph Clustering via Projected Gradient Descent. | Shiau Hong Lim, Gregory Calvez |
| 2018 | Stochastic Multi-armed Bandits in Constant Space. | David Liau, Zhao Song, Eric Price, Ger Yang |
| 2018 | Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations. | Alan Lazarus, Dirk Husmeier, Theodore Papamarkou |
| 2018 | Bayesian Approaches to Distribution Regression. | Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic, Seth R. Flaxman |
| 2018 | A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization. | Emanuel Laude, Tao Wu, Daniel Cremers |
| 2018 | Optimality of Approximate Inference Algorithms on Stable Instances. | Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan |
| 2018 | Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? | Chandrashekar Lakshminarayanan, Csaba Szepesvri |
| 2018 | Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach. | Achintya Kundu, Francis R. Bach, Chiranjib Bhattacharyya |
| 2018 | On the challenges of learning with inference networks on sparse, high-dimensional data. | Rahul G. Krishnan, Dawen Liang, Matthew D. Hoffman |
| 2018 | Robust Active Label Correction. | Jan Kremer, Fei Sha, Christian Igel |
| 2018 | Outlier Detection and Robust Estimation in Nonparametric Regression. | Dehan Kong, Howard D. Bondell, Weining Shen |
| 2018 | Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. | Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Bulu, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh |
| 2018 | Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes. | Hyunjik Kim, Yee Whye Teh |
| 2018 | Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization. | Seung-Jean Kim, Johan Lim, Joong-Ho Won |
| 2018 | IHT dies hard: Provable accelerated Iterative Hard Thresholding. | Rajiv Khanna, Anastasios Kyrillidis |
| 2018 | Comparison Based Learning from Weak Oracles. | Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi |
| 2018 | Nonparametric Preference Completion. | Julian Katz-Samuels, Clayton Scott |