Papers
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision
Deepti Pachauri, Risi Kondor, Gautam Sargur et al.
Causal Inference through a Witness Protection Program
Ricardo Silva, Robin Evans
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
Michalis Titsias RC AUEB, Christopher Yau
A Drifting-Games Analysis for Online Learning and Applications to Boosting
Haipeng Luo, Robert E. Schapire
Feature Cross-Substitution in Adversarial Classification
Bo Li, Yevgeniy Vorobeychik
On Sparse Gaussian Chain Graph Models
Calvin McCarter, Seyoung Kim
Spectral Methods for Indian Buffet Process Inference
Hsiao-Yu Tung, Alexander J Smola
Deep Networks with Internal Selective Attention through Feedback Connections
Marijn F Stollenga, Jonathan Masci, Faustino Gomez et al.
Controlling privacy in recommender systems
Yu Xin, Tommi Jaakkola
Flexible Transfer Learning under Support and Model Shift
Xuezhi Wang, Jeff Schneider
On Multiplicative Multitask Feature Learning
Xin Wang, Jinbo Bi, Shipeng Yu et al.
Top Rank Optimization in Linear Time
Nan Li, Rong Jin, Zhi-Hua Zhou
Provable Submodular Minimization using Wolfe's Algorithm
Deeparnab Chakrabarty, Prateek Jain, Pravesh Kothari
Efficient Structured Matrix Rank Minimization
Adams Wei Yu, Wanli Ma, Yaoliang Yu et al.
Weighted importance sampling for off-policy learning with linear function approximation
A. Rupam Mahmood, Hado P van Hasselt, Richard S. Sutton
Exponential Concentration of a Density Functional Estimator
Shashank Singh, Barnabas Poczos
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L Denton, Wojciech Zaremba, Joan Bruna et al.
A Framework for Testing Identifiability of Bayesian Models of Perception
Luigi Acerbi, Wei Ji Ma, Sethu Vijayakumar
Learning Deep Features for Scene Recognition using Places Database
Bolei Zhou, Agata Lapedriza, Jianxiong Xiao et al.
Mondrian Forests: Efficient Online Random Forests
Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
Seunghak Lee, Jin Kyu Kim, Xun Zheng et al.
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
Karthika Mohan, Judea Pearl
Probabilistic low-rank matrix completion on finite alphabets
Jean Lafond, Olga Klopp, Eric Moulines et al.
Efficient Minimax Strategies for Square Loss Games
Wouter M. Koolen, Alan Malek, Peter L Bartlett
Low Rank Approximation Lower Bounds in Row-Update Streams
David Woodruff