Papers
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
François-Xavier Briol, Chris Oates, Mark Girolami et al.
Submodular Hamming Metrics
Jennifer A Gillenwater, Rishabh K Iyer, Bethany Lusch et al.
Learning to Transduce with Unbounded Memory
Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman et al.
Learning Causal Graphs with Small Interventions
Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G Dimakis et al.
Unsupervised Learning by Program Synthesis
Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung, Kyle Kastner, Laurent Dinh et al.
Fast Two-Sample Testing with Analytic Representations of Probability Measures
Kacper P Chwialkowski, Aaditya Ramdas, Dino Sejdinovic et al.
Parallel Correlation Clustering on Big Graphs
Xinghao Pan, Dimitris Papailiopoulos, Samet Oymak et al.
Subset Selection by Pareto Optimization
Chao Qian, Yang Yu, Zhi-Hua Zhou
Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization
Niao He, Zaid Harchaoui
A Reduced-Dimension fMRI Shared Response Model
Po-Hsuan (Cameron) Chen, Janice Chen, Yaara Yeshurun et al.
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width
Christopher M De Sa, Ce Zhang, Kunle Olukotun et al.
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks
Kevin Scaman, Rémi Lemonnier, Nicolas Vayatis
Alternating Minimization for Regression Problems with Vector-valued Outputs
Prateek Jain, Ambuj Tewari
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring
David Kappel, Stefan Habenschuss, Robert Legenstein et al.
Teaching Machines to Read and Comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette et al.
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen, Nan Ding, Lawrence Carin
Bayesian dark knowledge
Anoop Korattikara Balan, Vivek Rathod, Kevin P. Murphy et al.
Learning both Weights and Connections for Efficient Neural Network
Song Han, Jeff Pool, John Tran et al.
Fast Rates for Exp-concave Empirical Risk Minimization
Tomer Koren, Kfir Levy
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
Rie Johnson, Tong Zhang
Black-box optimization of noisy functions with unknown smoothness
Jean-Bastien Grill, Michal Valko, Remi Munos et al.
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
Wei Cao, Jian Li, Yufei Tao et al.
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L Denton, Soumith Chintala, arthur szlam et al.