| 2017 | Learning Structured Weight Uncertainty in Bayesian Neural Networks. | Shengyang Sun, Changyou Chen, Lawrence Carin |
| 2017 | Scalable Variational Inference for Super Resolution Microscopy. | Ruoxi Sun, Evan Archer, Liam Paninski |
| 2017 | Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. | Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin |
| 2017 | Performance Bounds for Graphical Record Linkage. | Rebecca C. Steorts, Matt Barnes, Willie Neiswanger |
| 2017 | Generalization Error of Invariant Classifiers. | Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues |
| 2017 | Compressed Least Squares Regression revisited. | Martin Slawski |
| 2017 | Sparse Randomized Partition Trees for Nearest Neighbor Search. | Kaushik Sinha, Omid Keivani |
| 2017 | Regret Bounds for Transfer Learning in Bayesian Optimisation. | Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2017 | Contextual Bandits with Latent Confounders: An NMF Approach. | Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai |
| 2017 | Lower Bounds on Active Learning for Graphical Model Selection. | Jonathan Scarlett, Volkan Cevher |
| 2017 | Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios. | Hiroaki Sasaki, Takafumi Kanamori, Masashi Sugiyama |
| 2017 | Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L | Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya |
| 2017 | Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes. | Feras Saad, Vikash Mansinghka |
| 2017 | A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case. | Nicholas Ruozzi |
| 2017 | Conditions beyond treewidth for tightness of higher-order LP relaxations. | Mark Rowland, Aldo Pacchiano, Adrian Weller |
| 2017 | A New Class of Private Chi-Square Hypothesis Tests. | Ryan Rogers, Daniel Kifer |
| 2017 | Efficient Online Multiclass Prediction on Graphs via Surrogate Losses. | Alexander Rakhlin, Karthik Sridharan |
| 2017 | Local Group Invariant Representations via Orbit Embeddings. | Anant Raj, Abhishek Kumar, Youssef Mroueh, Tom Fletcher, Bernhard Schlkopf |
| 2017 | A Maximum Matching Algorithm for Basis Selection in Spectral Learning. | Ariadna Quattoni, Xavier Carreras, Matthias Gall |
| 2017 | Learning with Feature Feedback: from Theory to Practice. | Stefanos Poulis, Sanjoy Dasgupta |
| 2017 | Belief Propagation in Conditional RBMs for Structured Prediction. | Wei Ping, Alexander Ihler |
| 2017 | Random Consensus Robust PCA. | Daniel L. Pimentel-Alarcn, Robert D. Nowak |
| 2017 | Optimistic Planning for the Stochastic Knapsack Problem. | Ciara Pike-Burke, Steffen Grnewlder |
| 2017 | On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior. | Juho Piironen, Aki Vehtari |
| 2017 | Learning Nash Equilibrium for General-Sum Markov Games from Batch Data. | Julien Prolat, Florian Strub, Bilal Piot, Olivier Pietquin |