Papers
Universal Value Function Approximators
Tom Schaul, Daniel Horgan, Karol Gregor et al.
Sparse Variational Inference for Generalized GP Models
Rishit Sheth, Yuyang Wang, Roni Khardon
Nested Sequential Monte Carlo Methods
Christian Naesseth, Fredrik Lindsten, Thomas Schon
On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments
Yifan Wu, Andras Gyorgy, Csaba Szepesvari
A Bayesian nonparametric procedure for comparing algorithms
Alessio Benavoli, Giorgio Corani, Francesca Mangili et al.
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood
Xin Yuan, Ricardo Henao, Ephraim Tsalik et al.
Dealing with small data: On the generalization of context trees
Ralf Eggeling, Mikko Koivisto, Ivo Grosse
The Power of Randomization: Distributed Submodular Maximization on Massive Datasets
Rafael Barbosa, Alina Ene, Huy Nguyen et al.
Scalable Model Selection for Large-Scale Factorial Relational Models
Chunchen Liu, Lu Feng, Ryohei Fujimaki et al.
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
Tim Salimans, Diederik Kingma, Max Welling
Multi-Task Learning for Subspace Segmentation
Yu Wang, David Wipf, Qing Ling et al.
Manifold-valued Dirichlet Processes
Hyunwoo Kim, Jia Xu, Baba Vemuri et al.
Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer
Yan-Fu Liu, Cheng-Yu Hsu, Shan-Hung Wu
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin, Victor Lempitsky
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization
Tyler Johnson, Carlos Guestrin
Faster cover trees
Mike Izbicki, Christian Shelton
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
Exponential Integration for Hamiltonian Monte Carlo
Wei-Lun Chao, Justin Solomon, Dominik Michels et al.
Simple regret for infinitely many armed bandits
Alexandra Carpentier, Michal Valko
Swept Approximate Message Passing for Sparse Estimation
Andre Manoel, Florent Krzakala, Eric Tramel et al.
Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Zheng Wen, Branislav Kveton, Azin Ashkan
Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems
Qiang Zhou, Qi Zhao
Learning Program Embeddings to Propagate Feedback on Student Code
Chris Piech, Jonathan Huang, Andy Nguyen et al.
On Deep Multi-View Representation Learning
Weiran Wang, Raman Arora, Karen Livescu et al.