conftrace_

empirical risk minimization

352 papers

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Also known as

ERM

Co-occurring keywords

convex optimization (1321) stochastic optimization (1060) differential privacy (1016) stochastic gradient descent (1091) learning theory (519) generalization bound (652) sample complexity (1169) non-convex optimization (547) domain generalization (1522) distributionally robust optimization (185)

Papers

The Fast Convergence of Boosting NIPS 2011
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure AISTATS 2011
Multiclass Learnability and the ERM principle COLT 2011
Differentially Private Empirical Risk Minimization JMLR 2011
Oracle inequalities for computationally budgeted model selection COLT 2011
Empirical Bernstein Boosting AISTATS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
Smoothness, Low Noise and Fast Rates NIPS 2010
Sample Complexity of Testing the Manifold Hypothesis NIPS 2010
On the Theory of Learnining with Privileged Information NIPS 2010
Learnability, Stability and Uniform Convergence JMLR 2010
Compressed Least-Squares Regression NIPS 2009
Lattice Regression NIPS 2009
Fast Learning from Non-i.i.d. Observations NIPS 2009
Efficient Learning using Forward-Backward Splitting NIPS 2009
Overlaying classifiers: a practical approach for optimal ranking NIPS 2008
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization NIPS 2008
Learning Bounds for Domain Adaptation NIPS 2007
Structured Learning with Approximate Inference NIPS 2007
Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
Learning Minimum Volume Sets JMLR 2006
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss JMLR 2006
Stability of $K$-Means Clustering NIPS 2006
Asymptotics in Empirical Risk Minimization JMLR 2005