| 2019 | Stochastic algorithms with descent guarantees for ICA. | Pierre Ablin, Alexandre Gramfort, Jean-Franois Cardoso, Francis R. Bach |
| 2019 | Model-Free Linear Quadratic Control via Reduction to Expert Prediction. | Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvri |
| 2019 | Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit. | Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie |
| 2019 | Projection-Free Bandit Convex Optimization. | Lin Chen, Mingrui Zhang, Amin Karbasi |
| 2019 | Recovery Guarantees For Quadratic Tensors With Sparse Observations. | Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang |
| 2019 | Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. | Alexander Bauer, Shinichi Nakajima, Nico Grnitz, Klaus-Robert Mller |
| 2018 | Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. | He Zhao, Piyush Rai, Lan Du, Wray L. Buntine |
| 2018 | Stochastic Three-Composite Convex Minimization with a Linear Operator. | Renbo Zhao, Volkan Cevher |
| 2018 | Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding. | Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang |
| 2018 | A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery. | Xiao Zhang, Lingxiao Wang, Quanquan Gu |
| 2018 | Learning Structural Weight Uncertainty for Sequential Decision-Making. | Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin |
| 2018 | Transfer Learning on fMRI Datasets. | Hejia Zhang, Po-Hsuan Chen, Peter J. Ramadge |
| 2018 | Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. | Jinshan Zeng, Ke Ma, Yuan Yao |
| 2018 | Tensor Regression Meets Gaussian Processes. | Rose Yu, Max Guangyu Li, Yan Liu |
| 2018 | Graphical Models for Non-Negative Data Using Generalized Score Matching. | Shiqing Yu, Mathias Drton, Ali Shojaie |
| 2018 | Gradient Diversity: a Key Ingredient for Scalable Distributed Learning. | Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett |
| 2018 | HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step. | Yuting Ye, Lihua Lei, Cheng Ju |
| 2018 | Provable Estimation of the Number of Blocks in Block Models. | Bowei Yan, Purnamrita Sarkar, Xiuyuan Cheng |
| 2018 | Optimal Cooperative Inference. | Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto |
| 2018 | A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer. | Tianbao Yang, Zhe Li, Lijun Zhang |
| 2018 | Dimensionality Reduced $\ell^{0}$-Sparse Subspace Clustering. | Yingzhen Yang |
| 2018 | Post Selection Inference with Kernels. | Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi |
| 2018 | Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms. | Pan Xu, Tianhao Wang, Quanquan Gu |
| 2018 | Benefits from Superposed Hawkes Processes. | Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin |
| 2018 | On the Statistical Efficiency of Compositional Nonparametric Prediction. | Yixi Xu, Jean Honorio, Xiao Wang |