Papers
Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery
Yudong Chen, Constantine Caramanis
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning
Arash Afkanpour, András György, Csaba Szepesvari et al.
Optimal rates for stochastic convex optimization under Tsybakov noise condition
Aaditya Ramdas, Aarti Singh
Parsing epileptic events using a Markov switching process model for correlated time series
Drausin Wulsin, Emily Fox, Brian Litt
Efficient Dimensionality Reduction for Canonical Correlation Analysis
Haim Avron, Christos Boutsidis, Sivan Toledo et al.
Human Boosting
Harsh Pareek, Pradeep Ravikumar
Feature Selection in High-Dimensional Classification
Mladen Kolar, Han Liu
Average Reward Optimization Objective In Partially Observable Domains
Yuri Grinberg, Doina Precup
Adaptive Sparsity in Gaussian Graphical Models
Eleanor Wong, Suyash Awate, P. Thomas Fletcher
Maximum Variance Correction with Application to A* Search
Wenlin Chen, Kilian Weinberger, Yixin Chen
Efficient Sparse Group Feature Selection via Nonconvex Optimization
Shuo Xiang, Xiaoshen Tong, Jieping Ye
Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks
Creighton Heaukulani, Zoubin Ghahramani
Learning Optimally Sparse Support Vector Machines
Andrew Cotter, Shai Shalev-Shwartz, Nati Srebro
Multiple Identifications in Multi-Armed Bandits
Séebastian Bubeck, Tengyao Wang, Nitin Viswanathan
Learning Linear Bayesian Networks with Latent Variables
Animashree Anandkumar, Daniel Hsu, Adel Javanmard et al.
Principal Component Analysis on non-Gaussian Dependent Data
Fang Han, Han Liu
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization
Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
Boqing Gong, Kristen Grauman, Fei Sha
Fixed-Point Model For Structured Labeling
Quannan Li, Jingdong Wang, David Wipf et al.
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
Ofir Pele, Ben Taskar, Amir Globerson et al.
Discriminatively Activated Sparselets
Ross Girshick, Hyun Oh Song, Trevor Darrell
A Machine Learning Framework for Programming by Example
Aditya Menon, Omer Tamuz, Sumit Gulwani et al.