| 2018 | Accelerated Stochastic Power Iteration. | Peng Xu, Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher R |
| 2018 | A fully adaptive algorithm for pure exploration in linear bandits. | Liyuan Xu, Junya Honda, Masashi Sugiyama |
| 2018 | On Truly Block Eigensolvers via Riemannian Optimization. | Zhiqiang Xu, Xin Gao |
| 2018 | Achieving the time of 1-NN, but the accuracy of k-NN. | Lirong Xue, Samory Kpotufe |
| 2018 | Towards Memory-Friendly Deterministic Incremental Gradient Method. | Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang |
| 2018 | Random Warping Series: A Random Features Method for Time-Series Embedding. | Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock |
| 2018 | Iterative Spectral Method for Alternative Clustering. | Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy |
| 2018 | Regional Multi-Armed Bandits. | Zhiyang Wang, Ruida Zhou, Cong Shen |
| 2018 | A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop. | Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song |
| 2018 | Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. | Beilun Wang, Arshdeep Sekhon, Yanjun Qi |
| 2018 | Topic Compositional Neural Language Model. | Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin |
| 2018 | Batched Large-scale Bayesian Optimization in High-dimensional Spaces. | Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka |
| 2018 | Stochastic Zeroth-order Optimization in High Dimensions. | Yining Wang, Simon S. Du, Sivaraman Balakrishnan, Aarti Singh |
| 2018 | Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth. | Jussi Viinikka, Ralf Eggeling, Mikko Koivisto |
| 2018 | Growth-Optimal Portfolio Selection under CVaR Constraints. | Guy Uziel, Ran El-Yaniv |
| 2018 | Variational inference for the multi-armed contextual bandit. | Iigo Urteaga, Chris Wiggins |
| 2018 | Multi-objective Contextual Bandit Problem with Similarity Information. | Eralp Turgay, Doruk ner, Cem Tekin |
| 2018 | VAE with a VampPrior. | Jakub M. Tomczak, Max Welling |
| 2018 | Nested CRP with Hawkes-Gaussian Processes. | Xi Tan, Vinayak A. Rao, Jennifer Neville |
| 2018 | Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables. | Masaaki Takada, Taiji Suzuki, Hironori Fujisawa |
| 2018 | Fast generalization error bound of deep learning from a kernel perspective. | Taiji Suzuki |
| 2018 | Efficient and principled score estimation with Nystrm kernel exponential families. | Danica J. Sutherland, Heiko Strathmann, Michael Arbel, Arthur Gretton |
| 2018 | Random Subspace with Trees for Feature Selection Under Memory Constraints. | Antonio Sutera, Clia Chtel, Gilles Louppe, Louis Wehenkel, Pierre Geurts |
| 2018 | Learning Hidden Quantum Markov Models. | Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots |
| 2018 | Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation. | Mohammadreza Soltani, Chinmay Hegde |