Application Areas

Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning Connections in Financial Time Series ICML 2013 Learning Fair Representations ICML 2013 Learning Hash Codes with Listwise Supervision ICCV 2013 Learning Hash Functions Using Column Generation ICML 2013 Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation ICML 2013 Learning View-Invariant Sparse Representations for Cross-View Action Recognition ICCV 2013 Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013 Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NeurIPS 2013 Loss-Proportional Subsampling for Subsequent ERM ICML 2013 Machine Learning with Operational Costs JMLR 2013 Mapping paradigm ontologies to and from the brain NeurIPS 2013 Meta-Transportability of Causal Effects: A Formal Approach AISTATS 2013 MLPACK: A Scalable C++ Machine Learning Library JMLR 2013 More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NeurIPS 2013 (Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings NeurIPS 2013 Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors ICCV 2013 New Subsampling Algorithms for Fast Least Squares Regression NeurIPS 2013 Non-Linear Domain Adaptation with Boosting NeurIPS 2013 Offline Mobile Instance Retrieval with a Small Memory Footprint ICCV 2013 On Flat versus Hierarchical Classification in Large-Scale Taxonomies NeurIPS 2013 On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance ICML 2013 Optimized Product Quantization for Approximate Nearest Neighbor Search CVPR 2013 Polar Operators for Structured Sparse Estimation NeurIPS 2013 POP: Person Re-identification Post-rank Optimisation ICCV 2013