Robustness

Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015 Discriminative Robust Transformation Learning NeurIPS 2015 Distributionally Robust Logistic Regression NeurIPS 2015 Robust Portfolio Optimization NeurIPS 2015 Robust Regression via Hard Thresholding NeurIPS 2015 Self Scaled Regularized Robust Regression CVPR 2015 Fast and Robust Least Squares Estimation in Corrupted Linear Models NeurIPS 2014 Grassmann Averages for Scalable Robust PCA CVPR 2014 Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model CVPR 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Robust Classification Under Sample Selection Bias NeurIPS 2014 Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space NeurIPS 2014 T-Linkage: A Continuous Relaxation of J-Linkage for Multi-Model Fitting CVPR 2014 Least Soft-Threshold Squares Tracking CVPR 2013 Online Robust PCA via Stochastic Optimization NeurIPS 2013 Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013 Reinforcement Learning in Robust Markov Decision Processes NeurIPS 2013 A Polynomial-time Form of Robust Regression NeurIPS 2012 Robustness and risk-sensitivity in Markov decision processes NeurIPS 2012 Tractable Objectives for Robust Policy Optimization NeurIPS 2012 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 Heavy-Tailed Process Priors for Selective Shrinkage NeurIPS 2010 Relaxed Clipping: A Global Training Method for Robust Regression and Classification NeurIPS 2010 Robust PCA via Outlier Pursuit NeurIPS 2010 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006