Classification

On the Necessity of Irrelevant Variables JMLR 2012 On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NeurIPS 2012 On the Sample Complexity of Robust PCA NeurIPS 2012 On Using Nearly-Independent Feature Families for High Precision and Confidence ACML 2012 Open Problem: Better Bounds for Online Logistic Regression COLT 2012 Open Problem: Does AdaBoost Always Cycle? COLT 2012 PAC-Bayes Bounds with Data Dependent Priors JMLR 2012 Pairwise Support Vector Machines and their Application to Large Scale Problems JMLR 2012 Parametric Local Metric Learning for Nearest Neighbor Classification NeurIPS 2012 Part & Clamp: Efficient Structured Output Learning AISTATS 2012 Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task NeurIPS 2012 Perceptron Learning of SAT NeurIPS 2012 Phoneme Classification using Constrained Variational Gaussian Process Dynamical System NeurIPS 2012 Pointwise Tracking the Optimal Regression Function NeurIPS 2012 Practical Large Scale Classification with Additive Kernels ACML 2012 Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study NeurIPS 2012 Probabilistic n-Choose-k Models for Classification and Ranking NeurIPS 2012 Projection Retrieval for Classification NeurIPS 2012 Proper losses for learning from partial labels NeurIPS 2012 Protocols for Learning Classifiers on Distributed Data AISTATS 2012 QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization ACML 2012 Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging NeurIPS 2012 Query Strategies for Evading Convex-Inducing Classifiers JMLR 2012 Randomized Optimum Models for Structured Prediction AISTATS 2012 Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor RSS 2012