Papers
The Composition Theorem for Differential Privacy
Peter Kairouz, Sewoong Oh, Pramod Viswanath
Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets
Woosang Lim, Minhwan Kim, Haesun Park et al.
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood
Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM
Xiaojun Chang, Yi Yang, Eric Xing et al.
Metadata Dependent Mondrian Processes
Yi Wang, Bin Li, Yang Wang et al.
On Greedy Maximization of Entropy
Dravyansh Sharma, Ashish Kapoor, Amit Deshpande
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games
Julien Perolat, Bruno Scherrer, Bilal Piot et al.
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