Papers
Sparse PCA via Covariance Thresholding
Yash Deshpande, Andrea Montanari
Magnitude-sensitive preference formation`
Nisheeth Srivastava, Ed Vul, Paul R. Schrater
Online combinatorial optimization with stochastic decision sets and adversarial losses
Gergely Neu, Michal Valko
Dynamic Rank Factor Model for Text Streams
Shaobo Han, Lin Du, Esther Salazar et al.
Cone-Constrained Principal Component Analysis
Yash Deshpande, Andrea Montanari, Emile Richard
Distributed Estimation, Information Loss and Exponential Families
Qiang Liu, Alex Ihler
Gaussian Process Volatility Model
Yue Wu, José Miguel Hernández-Lobato, Zoubin Ghahramani
Clustered factor analysis of multineuronal spike data
Lars Buesing, Timothy A Machado, John P. Cunningham et al.
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre et al.
Biclustering Using Message Passing
Luke O'Connor, Soheil Feizi
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
Cristina Savin, Sophie Denève
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
Hanie Sedghi, Anima Anandkumar, Edmond Jonckheere
Active Regression by Stratification
Sivan Sabato, Remi Munos
From Stochastic Mixability to Fast Rates
Nishant A Mehta, Robert C. Williamson
UoS: A Graph-Based System for Graded Word Sense Induction
David Hope, Bill Keller
UColorado_SOM: Extraction of Drug-Drug Interactions from Biomedical Text using Knowledge-rich and Knowledge-poor Features
Negacy Hailu, Lawrence E. Hunter, K. Bretonnel Cohen
SCAI: Extracting drug-drug interactions using a rich feature vector
Tamara Bobić, Juliane Fluck, Martin Hofmann-Apitius
UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing
Majid Rastegar-Mojarad, Richard D. Boyce, Rashmi Prasad
LASIGE: using Conditional Random Fields and ChEBI ontology
Tiago Grego, Francisco Pinto, Francisco M. Couto
UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge
Jari Björne, Suwisa Kaewphan, Tapio Salakoski
NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels
Behrouz Bokharaeian, Alberto Díaz
UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts
Armando Collazo, Alberto Ceballo, Dennys D. Puig et al.
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
Philippe Thomas, Mariana Neves, Tim Rocktäschel et al.