| 2017 | Fast Classification with Binary Prototypes. | Kai Zhong, Ruiqi Guo, Sanjiv Kumar, Bowei Yan, David Simcha, Inderjit S. Dhillon |
| 2017 | Online Nonnegative Matrix Factorization with General Divergences. | Renbo Zhao, Vincent Yan Fu Tan, Huan Xu |
| 2017 | Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition. | Jiong Zhang, Ian En-Hsu Yen, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2017 | On the Learnability of Fully-Connected Neural Networks. | Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan |
| 2017 | Minimax Approach to Variable Fidelity Data Interpolation. | Alexey Zaytsev, Evgeny Burnaev |
| 2017 | Fairness Constraints: Mechanisms for Fair Classification. | Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi |
| 2017 | Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage. | Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher |
| 2017 | Localized Lasso for High-Dimensional Regression. | Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski |
| 2017 | Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent. | Pan Xu, Tingting Zhang, Quanquan Gu |
| 2017 | Markov Chain Truncation for Doubly-Intractable Inference. | Colin Wei, Iain Murray |
| 2017 | A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation. | Lingxiao Wang, Xiao Zhang, Quanquan Gu |
| 2017 | Linking Micro Event History to Macro Prediction in Point Process Models. | Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song |
| 2017 | Tracking Objects with Higher Order Interactions via Delayed Column Generation. | Shaofei Wang, Steffen Wolf, Charless C. Fowlkes, Julian Yarkony |
| 2017 | Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD). | Miaoyan Wang, Yun S. Song |
| 2017 | Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data. | Jialei Wang, Jason D. Lee, Mehrdad Mahdavi, Mladen Kolar, Nati Srebro |
| 2017 | A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models. | Beilun Wang, Ji Gao, Yanjun Qi |
| 2017 | Prediction Performance After Learning in Gaussian Process Regression. | Johan Wgberg, Dave Zachariah, Thomas B. Schn, Petre Stoica |
| 2017 | Fast column generation for atomic norm regularization. | Marina Vinyes, Guillaume Obozinski |
| 2017 | Horde of Bandits using Gaussian Markov Random Fields. | Sharan Vaswani, Mark Schmidt, Laks V. S. Lakshmanan |
| 2017 | Decentralized Collaborative Learning of Personalized Models over Networks. | Paul Vanhaesebrouck, Aurlien Bellet, Marc Tommasi |
| 2017 | Communication-efficient Distributed Sparse Linear Discriminant Analysis. | Lu Tian, Quanquan Gu |
| 2017 | Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere. | Albert Thomas, Stphan Clmenon, Alexandre Gramfort, Anne Sabourin |
| 2017 | Spatial Decompositions for Large Scale SVMs. | Philipp Thomann, Ingrid Blaschzyk, Mona Meister, Ingo Steinwart |
| 2017 | Convergence Rate of Stochastic k-means. | Cheng Tang, Claire Monteleoni |
| 2017 | Initialization and Coordinate Optimization for Multi-way Matching. | Da Tang, Tony Jebara |