Papers
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.
Deep Joint Task Learning for Generic Object Extraction
Xiaolong Wang, Liliang Zhang, Liang Lin et al.
LSDA: Large Scale Detection through Adaptation
Judy Hoffman, Sergio Guadarrama, Eric S Tzeng et al.
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations
Zhenyao Zhu, Ping Luo, Xiaogang Wang et al.
Deep Convolutional Neural Network for Image Deconvolution
Li Xu, Jimmy SJ Ren, Ce Liu et al.
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
Cho-Jui Hsieh, Inderjit S Dhillon, Pradeep K Ravikumar et al.
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
Harikrishna Narasimhan, Rohit Vaish, Shivani Agarwal
Algorithms for CVaR Optimization in MDPs
Yinlam Chow, Mohammad Ghavamzadeh
Sparse Space-Time Deconvolution for Calcium Image Analysis
Ferran Diego Andilla, Fred A. Hamprecht