출판 Monadic Decomposition Margus Veanes, Nikolaj Bjørner, Lev Nachmanson, Sergey Bereg CAV’14 | July 2014
출판 Universal Matrix Completion Srinadh Bhojanapalli, Prateek Jain Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014 | July 2014
출판 Learning Mixtures of Discrete Product Distributions using Spectral Decompositions Prateek Jain, Sewoong Oh Proceedings of The 27th Conference on Learning Theory, COLT 2014, Barcelona, Spain, June 13-15, 2014 | July 2014
출판 Least Squares Revisited: Scalable Approaches for Multi-class Prediction Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant July 2014
출판 A Theoretical Foundation for Scheduling and Designing Heterogeneous Processors for Interactive Applications (with Proofs) Shaolei Ren, Yuxiong He, Kathryn S McKinley MSR-TR-2014-101 | July 2014
출판 Approximations for Model Construction Aleksandar Zeljić, Christoph M. Wintersteiger, Philipp Rümmer Proceedings of the 7th International Joint Conference on Automated Reasoning (IJCAR 2014) | July 2014 Best paper award
출판 Robust Multi-objective Learning with Mentor Feedback Alekh Agarwal, Ashwinkumar Badanidiyuru, Miroslav Dudik, Robert E. Schapire, Aleksandrs Slivkins, Aleksandrs Slivkins, Miro Dudík 27th Conf. on Learning Theory (COLT) | July 2014 27th Conf. on Learning Theory (COLT)
출판 Large-Scale Heterogeneous Storage Optimization under Resource Capacity Constraints Bojun Huang, Thomas Moscibroda July 2014
출판 An Accelerated Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization Qihang Lin, Zhaosong Lu, Lin Xiao MSR-TR-2014-94 | July 2014
출판 Estimation for Monotone Sampling: Competitiveness and Customization Edith Cohen ACM PODC 2014 | July 2014 This is a full version of a PODC 2014 paper