Papers
Metric Learning for Temporal Sequence Alignment
Damien Garreau, Rémi Lajugie, Sylvain Arlot et al.
Constrained convex minimization via model-based excessive gap
Quoc Tran-Dinh, Volkan Cevher
Bayes-Adaptive Simulation-based Search with Value Function Approximation
Arthur Guez, Nicolas Heess, David Silver et al.
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
Somdeb Sarkhel, Deepak Venugopal, Parag Singla et al.
How hard is my MDP?" The distribution-norm to the rescue"
Odalric-Ambrym Maillard, Timothy A Mann, Shie Mannor
Incremental Clustering: The Case for Extra Clusters
Margareta Ackerman, Sanjoy Dasgupta
Content-based recommendations with Poisson factorization
Prem Gopalan, Laurent Charlin, David Blei
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Dengyong Zhou et al.
Efficient Sampling for Learning Sparse Additive Models in High Dimensions
Hemant Tyagi, Bernd Gärtner, Andreas Krause
Semi-supervised Learning with Deep Generative Models
Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende et al.
Repeated Contextual Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh, Umar Syed
Parallel Direction Method of Multipliers
Huahua Wang, Arindam Banerjee, Zhi-Quan Luo
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
Xianjie Chen, Alan L. Yuille
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
Mehryar Mohri, Andres Munoz
Large-scale L-BFGS using MapReduce
Weizhu Chen, Zhenghao Wang, Jingren Zhou
Learning a Concept Hierarchy from Multi-labeled Documents
Viet-An Nguyen, Jordan L Ying, Philip Resnik et al.
Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems
Cong Han Lim, Stephen Wright
Bregman Alternating Direction Method of Multipliers
Huahua Wang, Arindam Banerjee
A Safe Screening Rule for Sparse Logistic Regression
Jie Wang, Jiayu Zhou, Jun Liu et al.
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato, Matthew W Hoffman, Zoubin Ghahramani
Stochastic variational inference for hidden Markov models
Nicholas Foti, Jason Xu, Dillon Laird et al.
Parallel Double Greedy Submodular Maximization
Xinghao Pan, Stefanie Jegelka, Joseph E Gonzalez et al.
Concavity of reweighted Kikuchi approximation
Po-Ling Loh, Andre Wibisono
A Bayesian model for identifying hierarchically organised states in neural population activity
Patrick Putzky, Florian Franzen, Giacomo Bassetto et al.
Making Pairwise Binary Graphical Models Attractive
Nicholas Ruozzi, Tony Jebara