Papers
Surrogate Functions for Maximizing Precision at the Top
Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
Abstraction Selection in Model-based Reinforcement Learning
Nan Jiang, Alex Kulesza, Satinder Singh
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
Zhuang Ma, Yichao Lu, Dean Foster
Learning Local Invariant Mahalanobis Distances
Ethan Fetaya, Shimon Ullman
Attribute Efficient Linear Regression with Distribution-Dependent Sampling
Doron Kukliansky, Ohad Shamir
An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
Tianbao Yang, Lijun Zhang, Rong Jin et al.
Learning from Corrupted Binary Labels via Class-Probability Estimation
Aditya Menon, Brendan Van Rooyen, Cheng Soon Ong et al.
On the Relationship between Sum-Product Networks and Bayesian Networks
Han Zhao, Mazen Melibari, Pascal Poupart
Robust partially observable Markov decision process
Takayuki Osogami
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang et al.
Learning Word Representations with Hierarchical Sparse Coding
Dani Yogatama, Manaal Faruqui, Chris Dyer et al.
A Lower Bound for the Optimization of Finite Sums
Alekh Agarwal, Leon Bottou
Adaptive Stochastic Alternating Direction Method of Multipliers
Peilin Zhao, Jinwei Yang, Tong Zhang et al.
Efficient Training of LDA on a GPU by Mean-for-Mode Estimation
Jean-Baptiste Tristan, Joseph Tassarotti, Guy Steele
Information Geometry and Minimum Description Length Networks
Ke Sun, Jun Wang, Alexandros Kalousis et al.
Spectral Clustering via the Power Method - Provably
Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens
An Aligned Subtree Kernel for Weighted Graphs
Lu Bai, Luca Rossi, Zhihong Zhang et al.
A low variance consistent test of relative dependency
Wacha Bounliphone, Arthur Gretton, Arthur Tenenhaus et al.
Approval Voting and Incentives in Crowdsourcing
Nihar Shah, Dengyong Zhou, Yuval Peres
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization
Peilin Zhao, Tong Zhang
Learning to Track: Online Multi-Object Tracking by Decision Making
Yu Xiang, Alexandre Alahi, Silvio Savarese
Multiple Hypothesis Tracking Revisited
Chanho Kim, Fuxin Li, Arridhana Ciptadi et al.
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering With Corrupted and Incomplete Data
Pan Ji, Mathieu Salzmann, Hongdong Li
Partial Person Re-Identification
Wei-Shi Zheng, Xiang Li, Tao Xiang et al.