| 2014 | Bayesian Network Parameter Learning using EM with Parameter Sharing. | Erik Reed, Ole J. Mengshoel |
| 2014 | k-NN Regression on Functional Data with Incomplete Observations. | Sashank J. Reddi, Barnabs Pczos |
| 2014 | Estimating Accuracy from Unlabeled Data. | Emmanouil Antonios Platanios, Avrim Blum, Tom M. Mitchell |
| 2014 | Learning Partial Policies to Speedup MDP Tree Search. | Jervis Pinto, Alan Fern |
| 2014 | Hierarchical Bayesian Survival Analysis and Projective Covariate Selection in Cardiovascular Event Risk Prediction. | Tomi Peltola, Aki S. Havulinna, Veikko Salomaa, Aki Vehtari |
| 2014 | Optimal amortized regret in every interval. | Rina Panigrahy, Preyas Popat |
| 2014 | Combining predictions from linear models when training and test inputs differ. | Thijs van Ommen |
| 2014 | Collaborative Multi-output Gaussian Processes. | Trung V. Nguyen, Edwin V. Bonilla |
| 2014 | Asymptotically Exact, Embarrassingly Parallel MCMC. | Willie Neiswanger, Chong Wang, Eric P. Xing |
| 2014 | Modeling Citation Networks Using Latent Random Offsets. | Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing |
| 2014 | Fast Gaussian Process Posteriors with Product Trees. | David A. Moore, Stuart Russell |
| 2014 | Lifted Message Passing as Reparametrization of Graphical Models. | Martin Mladenov, Amir Globerson, Kristian Kersting |
| 2014 | Hydrologic Predictions using Probabilistic Relational Models. | Max Metzger, Alison O'Connor, David Boutt |
| 2014 | Toward Learning Graphical and Causal Process Models. | Christopher Meek |
| 2014 | GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation. | Edward Meeds, Max Welling |
| 2014 | Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models. | Takamitsu Matsubara, Vicen Gmez, Hilbert J. Kappen |
| 2014 | Stochastic Discriminative EM. | Andrs R. Masegosa |
| 2014 | Sequential Bayesian Optimisation for Spatial-Temporal Monitoring. | Romn Marchant, Fabio Ramos, Scott Sanner |
| 2014 | Adaptive Monotone Shrinkage for Regression. | Zhuang Ma, Dean P. Foster, Robert A. Stine |
| 2014 | Firefly Monte Carlo: Exact MCMC with Subsets of Data. | Dougal Maclaurin, Ryan P. Adams |
| 2014 | Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent. | Yichao Lu, Dean P. Foster |
| 2014 | Continuously indexed Potts models on unoriented graphs. | Loc Landrieu, Guillaume Obozinski |
| 2014 | Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds. | Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng |
| 2014 | Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property. | Ming Lin, Rong Jin, Changshui Zhang |
| 2014 | CoRE Kernels. | Ping Li |