Papers
Space-Time Local Embeddings
Ke Sun, Jun Wang, Alexandros Kalousis et al.
A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice
Tasuku Soma, Yuichi Yoshida
A Market Framework for Eliciting Private Data
Bo Waggoner, Rafael Frongillo, Jacob D. Abernethy
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo Xie, Yingyu Liang, Le Song
Bandits with Unobserved Confounders: A Causal Approach
Elias Bareinboim, Andrew Forney, Judea Pearl
A Structural Smoothing Framework For Robust Graph Comparison
Pinar Yanardag, S.V.N. Vishwanathan
Statistical Topological Data Analysis - A Kernel Perspective
Roland Kwitt, Stefan Huber, Marc Niethammer et al.
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen, Emmanuel Candes
Online Learning with Adversarial Delays
Kent Quanrud, Daniel Khashabi
Private Graphon Estimation for Sparse Graphs
Christian Borgs, Jennifer Chayes, Adam Smith
Lifted Symmetry Detection and Breaking for MAP Inference
Timothy Kopp, Parag Singla, Henry Kautz
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
Wei Sun, Zhaoran Wang, Han Liu et al.
Semi-supervised Sequence Learning
Andrew M Dai, Quoc V Le
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
Xiaocheng Shang, Zhanxing Zhu, Benedict Leimkuhler et al.
Biologically Inspired Dynamic Textures for Probing Motion Perception
Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet et al.
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm
Qinqing Zheng, Ryota Tomioka
3D Object Proposals for Accurate Object Class Detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu et al.
When are Kalman-Filter Restless Bandits Indexable?
Christopher R Dance, Tomi Silander
Unified View of Matrix Completion under General Structural Constraints
Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee et al.
MCMC for Variationally Sparse Gaussian Processes
James Hensman, Alexander G Matthews, Maurizio Filippone et al.
Predtron: A Family of Online Algorithms for General Prediction Problems
Prateek Jain, Nagarajan Natarajan, Ambuj Tewari
Measuring Sample Quality with Stein's Method
Jackson Gorham, Lester Mackey
The Pareto Regret Frontier for Bandits
Tor Lattimore
GAP Safe screening rules for sparse multi-task and multi-class models
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort et al.