Papers
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.
On some provably correct cases of variational inference for topic models
Pranjal Awasthi, Andrej Risteski
Tensorizing Neural Networks
Alexander Novikov, Dmitrii Podoprikhin, Anton Osokin et al.
From random walks to distances on unweighted graphs
Tatsunori Hashimoto, Yi Sun, Tommi Jaakkola
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk
Guillaume Papa, Stéphan Clémençon, Aurélien Bellet
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
Rafael Frongillo, Mark D. Reid
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number
Janne H Korhonen, Pekka Parviainen
Learning with Group Invariant Features: A Kernel Perspective.
Youssef Mroueh, Stephen Voinea, Tomaso A Poggio
Algorithmic Stability and Uniform Generalization
Ibrahim M Alabdulmohsin