Papers
On Markov chain Monte Carlo methods for tall data
Rémi Bardenet, Arnaud Doucet, Chris Holmes
On Perturbed Proximal Gradient Algorithms
Yves F. Atchadé, Gersende Fort, Eric Moulines
On the Consistency of Ordinal Regression Methods
Fabian Pedregosa, Francis Bach, Alexandre Gramfort
On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks
Prakash Balachandran, Eric D. Kolaczyk, Weston D. Viles
openXBOW -- Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit
Maximilian Schmitt, Björn Schuller
Optimal Dictionary for Least Squares Representation
Mohammed Rayyan Sheriff, Debasish Chatterjee
Optimal Rates for Multi-pass Stochastic Gradient Methods
Junhong Lin, Lorenzo Rosasco
Parallel Symmetric Class Expression Learning
An C. Tran, Jens Dietrich, Hans W. Guesgen et al.
Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models
Alexandre Bouchard-Côté, Arnaud Doucet, Andrew Roth
Persistence Images: A Stable Vector Representation of Persistent Homology
Henry Adams, Tegan Emerson, Michael Kirby et al.
Poisson Random Fields for Dynamic Feature Models
Valerio Perrone, Paul A. Jenkins, Dario Spanò et al.
POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty
Maxim Egorov, Zachary N. Sunberg, Edward Balaban et al.
Preference-based Teaching
Ziyuan Gao, Christoph Ries, Hans U. Simon et al.
Probabilistic Line Searches for Stochastic Optimization
Maren Mahsereci, Philipp Hennig
Quantifying the Informativeness of Similarity Measurements
Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou et al.
Rank Determination for Low-Rank Data Completion
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal
Reconstructing Undirected Graphs from Eigenspaces
Yohann De Castro, Thibault Espinasse, Paul Rochet
Recovering PCA and Sparse PCA via Hybrid-(l1,l2) Sparse Sampling of Data Elements
Abhisek Kundu, Petros Drineas, Malik Magdon-Ismail
Refinery: An Open Source Topic Modeling Web Platform
Daeil Kim, Benjamin F. Swanson, Michael C. Hughes et al.
Regularization and the small-ball method II: complexity dependent error rates
Guillaume Lecué, Shahar Mendelson
Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models
Jiahe Lin, George Michailidis
Relational Reinforcement Learning for Planning with Exogenous Effects
David Martínez, Guillem Alenyà, Tony Ribeiro et al.
Robust and Scalable Bayes via a Median of Subset Posterior Measures
Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin et al.