conftrace_

empirical risk minimization

352 papers

Explore in graph

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

Open Problem: Property Elicitation and Elicitation Complexity COLT 2016
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NIPS 2016
Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back NIPS 2016
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability NIPS 2016
Stratified Sampling Meets Machine Learning ICML 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NIPS 2016
A Simple Practical Accelerated Method for Finite Sums NIPS 2016
Stochastic Three-Composite Convex Minimization NIPS 2016
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy NIPS 2016
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$ NIPS 2016
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization ACML 2015
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk NIPS 2015
Convex Risk Minimization and Conditional Probability Estimation COLT 2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NIPS 2015
Adversarial Prediction Games for Multivariate Losses NIPS 2015
A Dual Augmented Block Minimization Framework for Learning with Limited Memory NIPS 2015
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015
Fast Rates for Exp-concave Empirical Risk Minimization NIPS 2015
Stochastic Dual Coordinate Ascent with Adaptive Probabilities ICML 2015
Learning and inference in the presence of corrupted inputs COLT 2015
Competing with the Empirical Risk Minimizer in a Single Pass COLT 2015
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent ICML 2015
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization ICML 2015
Multiclass Learnability and the ERM Principle JMLR 2015