Papers
Cheap Bandits
Manjesh Hanawal, Venkatesh Saligrama, Michal Valko et al.
Classification with Low Rank and Missing Data
Elad Hazan, Roi Livni, Yishay Mansour
Community Detection Using Time-Dependent Personalized PageRank
Haim Avron, Lior Horesh
Complete Dictionary Recovery Using Nonconvex Optimization
Ju Sun, Qing Qu, John Wright
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM
Xiaojun Chang, Yi Yang, Eric Xing et al.
Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James Wilson, Stephen Tyree et al.
Consistent estimation of dynamic and multi-layer block models
Qiuyi Han, Kevin Xu, Edoardo Airoldi
Consistent Multiclass Algorithms for Complex Performance Measures
Harikrishna Narasimhan, Harish Ramaswamy, Aadirupa Saha et al.
Context-based Unsupervised Data Fusion for Decision Making
Erfan Soltanmohammadi, Mort Naraghi-Pour, Mihaela Schaar
Controversy in mechanistic modelling with Gaussian processes
Benn Macdonald, Catherine Higham, Dirk Husmeier
Convex Calibrated Surrogates for Hierarchical Classification
Harish Ramaswamy, Ambuj Tewari, Shivani Agarwal
Convex Formulation for Learning from Positive and Unlabeled Data
Marthinus Du Plessis, Gang Niu, Masashi Sugiyama
Convex Learning of Multiple Tasks and their Structure
Carlo Ciliberto, Youssef Mroueh, Tomaso Poggio et al.
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
Julie Nutini, Mark Schmidt, Issam Laradji et al.
Coresets for Nonparametric Estimation - the Case of DP-Means
Olivier Bachem, Mario Lucic, Andreas Krause
Correlation Clustering in Data Streams
KookJin Ahn, Graham Cormode, Sudipto Guha et al.
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan, Thorsten Joachims
CUR Algorithm for Partially Observed Matrices
Miao Xu, Rong Jin, Zhi-Hua Zhou
Dealing with small data: On the generalization of context trees
Ralf Eggeling, Mikko Koivisto, Ivo Grosse
Deep Edge-Aware Filters
Li Xu, Jimmy Ren, Qiong Yan et al.
Deep Learning with Limited Numerical Precision
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan et al.
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan et al.
Deterministic Independent Component Analysis
Ruitong Huang, Andras Gyorgy, Csaba Szepesvári
Differentially Private Bayesian Optimization
Matt Kusner, Jacob Gardner, Roman Garnett et al.