Papers
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction
Katerina Fragkiadaki, Marta Salas, Pablo Arbelaez et al.
Optimal Teaching for Limited-Capacity Human Learners
Kaustubh R Patil, Xiaojin Zhu, Łukasz Kopeć et al.
Do Convnets Learn Correspondence?
Jonathan L Long, Ning Zhang, Trevor Darrell
Multitask learning meets tensor factorization: task imputation via convex optimization
Kishan Wimalawarne, Masashi Sugiyama, Ryota Tomioka
Exclusive Feature Learning on Arbitrary Structures via ℓ_1,2-norm
Deguang Kong, Ryohei Fujimaki, Ji Liu et al.
Robust Logistic Regression and Classification
Jiashi Feng, Huan Xu, Shie Mannor et al.
A Wild Bootstrap for Degenerate Kernel Tests
Kacper P Chwialkowski, Dino Sejdinovic, Arthur Gretton
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP
Shinichi Nakajima, Issei Sato, Masashi Sugiyama et al.
Blossom Tree Graphical Models
Zhe Liu, John Lafferty
Zeta Hull Pursuits: Learning Nonconvex Data Hulls
Yuanjun Xiong, Wei Liu, Deli Zhao et al.
New Rules for Domain Independent Lifted MAP Inference
Happy Mittal, Prasoon Goyal, Vibhav G Gogate et al.
Scalable Non-linear Learning with Adaptive Polynomial Expansions
Alekh Agarwal, Alina Beygelzimer, Daniel J. Hsu et al.
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
Ian En-Hsu Yen, Ting-Wei Lin, Shou-De Lin et al.
A provable SVD-based algorithm for learning topics in dominant admixture corpus
Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan
Searching for Higgs Boson Decay Modes with Deep Learning
Peter J Sadowski, Daniel Whiteson, Pierre Baldi
Learning Generative Models with Visual Attention
Charlie Tang, Nitish Srivastava, Ruslan Salakhutdinov
Communication-Efficient Distributed Dual Coordinate Ascent
Martin Jaggi, Virginia Smith, Martin Takac et al.
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