Papers
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
Siamak Ravanbakhsh, Reihaneh Rabbany, Russell Greiner
Scaling-up Importance Sampling for Markov Logic Networks
Deepak Venugopal, Vibhav G Gogate
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
Qing Qu, Ju Sun, John Wright
Submodular Attribute Selection for Action Recognition in Video
Jingjing Zheng, Zhuolin Jiang, Rama Chellappa et al.
Deep Symmetry Networks
Robert Gens, Pedro M Domingos
Learning Mixtures of Submodular Functions for Image Collection Summarization
Sebastian Tschiatschek, Rishabh K Iyer, Haochen Wei et al.
Quantized Kernel Learning for Feature Matching
Danfeng Qin, Xuanli Chen, Matthieu Guillaumin et al.
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
Been Kim, Cynthia Rudin, Julie A Shah
A Statistical Decision-Theoretic Framework for Social Choice
Hossein Azari Soufiani, David C. Parkes, Lirong Xia
Near-optimal sample compression for nearest neighbors
Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
Elementary Estimators for Graphical Models
Eunho Yang, Aurelie C. Lozano, Pradeep K Ravikumar
Tight convex relaxations for sparse matrix factorization
Emile Richard, Guillaume R. Obozinski, Jean-Philippe Vert
Recurrent Models of Visual Attention
Volodymyr Mnih, Nicolas Heess, Alex Graves et al.
Non-convex Robust PCA
Praneeth Netrapalli, Niranjan U N, Sujay Sanghavi et al.
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion
Yuanyuan Liu, Fanhua Shang, Wei Fan et al.
Clamping Variables and Approximate Inference
Adrian Weller, Tony Jebara
Consistency of weighted majority votes
Daniel Berend, Aryeh Kontorovich
Bandit Convex Optimization: Towards Tight Bounds
Elad Hazan, Kfir Levy
On Prior Distributions and Approximate Inference for Structured Variables
Oluwasanmi O Koyejo, Rajiv Khanna, Joydeep Ghosh et al.
Convex Optimization Procedure for Clustering: Theoretical Revisit
Changbo Zhu, Huan Xu, Chenlei Leng et al.
The Noisy Power Method: A Meta Algorithm with Applications
Moritz Hardt, Eric Price
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time
Zhaoran Wang, Huanran Lu, Han Liu
Robust Classification Under Sample Selection Bias
Anqi Liu, Brian Ziebart
Improved Multimodal Deep Learning with Variation of Information
Kihyuk Sohn, Wenling Shang, Honglak Lee
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis
Cong Xie, Ling Yan, Wu-Jun Li et al.