Papers
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain
Charles Y Zheng, Franco Pestilli, Ariel Rokem
Transportability from Multiple Environments with Limited Experiments: Completeness Results
Elias Bareinboim, Judea Pearl
Real-Time Decoding of an Integrate and Fire Encoder
Shreya Saxena, Munther Dahleh
On Communication Cost of Distributed Statistical Estimation and Dimensionality
Ankit Garg, Tengyu Ma, Huy Nguyen
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
Guangcan Liu, Ping Li
Multivariate Regression with Calibration
Han Liu, Lie Wang, Tuo Zhao
Causal Strategic Inference in Networked Microfinance Economies
Mohammad T Irfan, Luis E. Ortiz
Feedforward Learning of Mixture Models
Matthew Lawlor, Steven W Zucker
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.