Application Areas

One Permutation Hashing NeurIPS 2012 On Using Nearly-Independent Feature Families for High Precision and Confidence ACML 2012 Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing RSS 2012 Practical Large Scale Classification with Additive Kernels ACML 2012 Privacy Aware Learning NeurIPS 2012 Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Risk-Aversion in Multi-armed Bandits NeurIPS 2012 Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012 Robustness and risk-sensitivity in Markov decision processes NeurIPS 2012 Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012 Semi-Supervised Domain Adaptation with Non-Parametric Copulas NeurIPS 2012 Shifting Weights: Adapting Object Detectors from Image to Video NeurIPS 2012 Sketch-Based Linear Value Function Approximation NeurIPS 2012 Structured Sparse Canonical Correlation Analysis AISTATS 2012 Super-Bit Locality-Sensitive Hashing NeurIPS 2012 Timely Object Recognition NeurIPS 2012 Tractable Objectives for Robust Policy Optimization NeurIPS 2012 Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012 Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NeurIPS 2012 A Collaborative Mechanism for Crowdsourcing Prediction Problems NeurIPS 2011 A Denoising View of Matrix Completion NeurIPS 2011 Algorithms for Hyper-Parameter Optimization NeurIPS 2011 A Machine Learning Approach to Predict Chemical Reactions NeurIPS 2011 Approximate Model Selection for Large Scale LSSVM ACML 2011