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Published Date

Publication

Fast algorithms for online stochastic convex programming

Shipra Agrawal, Nikhil Devanur

SODA 2015 (ACM-SIAM Symposium on Discrete Algorithms) | January 2015

SODA 2015 (ACM-SIAM Symposium on Discrete Algorithms)

Project

Publication

Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling

Xi Chen, Qihang Lin, Denny Zhou

Journal of Machine Learning Research | January 2015, Vol 16: pp. 1-46

Project

Publication

Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss

Yuchen Zhang, Lin Xiao

MSR-TR-2015-1 | January 2015

Project

Publication

Crowd Access Path Optimization: Diversity matters.

Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann

HCOMP 2015 | January 2015

Publication

Machine Learning for Affective Computing: Challenges and Opportunities

Ashish Kapoor

Chapter Machine Learning for Affective Computing: Challenges and Opportunities, in The Oxford Handbook of Affective Computing

Published by Oxford University Press | January 2015

Publication

Inferring Latent User Properties from Texts Published in Social Media

Svitlana Volkova, Yoram Bachrach, Michael Armstrong, Vijay Sharma

AAAI – Association for the Advancement of Artificial Intelligence | January 2015

Publication

Making Vapnik-Chervonenkis bounds accurate

Leon Bottou

Festschrift in Honor of Alexei Chervonenkis | Published by Springer | 2014 | Festschrift in Honor of Alexei Chervonenkis edition

with comments and rejoinder.

Publication

Distribution-Valued Solution Concepts

David Wolpert, James Bono

Review of Behavioral Economics | December 2014, Vol 1(4): pp. 381-443

Project

FaST-LMM (Factored Spectrally Transformed Linear Mixed Models) is a set of tools for performing efficient genome-wide association studies (GWAS) on large data sets. FaST-LMM runs on both Windows and Linux, and has been tested on…

Publication

Learning Multi-Relational Semantics Using Neural-Embedding Models

Bishan Yang, Scott Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng

NIPS 2014 workshop on Learning Semantics | December 2014

Artificial Intelligence

Highlights