| 2017 | Nonlinear ICA of Temporally Dependent Stationary Sources. | Aapo Hyvrinen, Hiroshi Morioka |
| 2017 | Gradient Boosting on Stochastic Data Streams. | Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell |
| 2017 | Quantifying the accuracy of approximate diffusions and Markov chains. | Jonathan Huggins, James Zou |
| 2017 | Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain. | Xiangru Huang, Ian En-Hsu Yen, Ruohan Zhang, Qixing Huang, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2017 | ConvNets with Smooth Adaptive Activation Functions for Regression. | Le Hou, Dimitris Samaras, Tahsin M. Kur, Yi Gao, Joel H. Saltz |
| 2017 | Regression Uncertainty on the Grassmannian. | Yi Hong, Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer |
| 2017 | High-dimensional Time Series Clustering via Cross-Predictability. | Dezhi Hong, Quanquan Gu, Kamin Whitehouse |
| 2017 | Consistent and Efficient Nonparametric Different-Feature Selection. | Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa, Takafumi Ono, Ryo Okamoto, Shigeki Takeuchi |
| 2017 | Unsupervised Sequential Sensor Acquisition. | Manjesh Kumar Hanawal, Csaba Szepesvri, Venkatesh Saligrama |
| 2017 | Comparison-Based Nearest Neighbor Search. | Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg |
| 2017 | Asymptotically exact inference in differentiable generative models. | Matthew M. Graham, Amos J. Storkey |
| 2017 | Linear Convergence of Stochastic Frank Wolfe Variants. | Donald Goldfarb, Garud Iyengar, Chaoxu Zhou |
| 2017 | Frank-Wolfe Algorithms for Saddle Point Problems. | Gauthier Gidel, Tony Jebara, Simon Lacoste-Julien |
| 2017 | Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions. | Asish Ghoshal, Jean Honorio |
| 2017 | Information-theoretic limits of Bayesian network structure learning. | Asish Ghoshal, Jean Honorio |
| 2017 | Discovering and Exploiting Additive Structure for Bayesian Optimization. | Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse |
| 2017 | On the Interpretability of Conditional Probability Estimates in the Agnostic Setting. | Yihan Gao, Aditya G. Parameswaran, Jian Peng |
| 2017 | Gray-box Inference for Structured Gaussian Process Models. | Pietro Galliani, Amir Dezfouli, Edwin V. Bonilla, Novi Quadrianto |
| 2017 | Sparse Accelerated Exponential Weights. | Pierre Gaillard, Olivier Wintenberger |
| 2017 | CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC. | Tianfan Fu, Zhihua Zhang |
| 2017 | Exploration-Exploitation in MDPs with Options. | Ronan Fruit, Alessandro Lazaric |
| 2017 | Poisson intensity estimation with reproducing kernels. | Seth R. Flaxman, Yee Whye Teh, Dino Sejdinovic |
| 2017 | Removing Phase Transitions from Gibbs Measures. | Ian Fellows, Mark Handcock |
| 2017 | Optimal Recovery of Tensor Slices. | Vivek F. Farias, Andrew A. Li |
| 2017 | Value-Aware Loss Function for Model-based Reinforcement Learning. | Amir Massoud Farahmand, Andr Barreto, Daniel Nikovski |