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

Computing Full Conformal Prediction Set with Approximate Homotopy NIPS 2019
Learning with Non-Convex Truncated Losses by SGD UAI 2019
Average Individual Fairness: Algorithms, Generalization and Experiments NIPS 2019
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data AISTATS 2019
Towards closing the gap between the theory and practice of SVRG NIPS 2019
Renyi Differentially Private ERM for Smooth Objectives AISTATS 2019
Scalable Approximations for Generalized Linear Problems JMLR 2019
Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations JMLR 2019
Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches AISTATS 2019
The Common-directions Method for Regularized Empirical Risk Minimization JMLR 2019
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time COLT 2019
Open Problem: Monotonicity of Learning COLT 2019
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods AISTATS 2019
Multi-Observation Regression AISTATS 2019
Distributionally Robust Submodular Maximization AISTATS 2019
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression AAAI 2019
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View AAAI 2019
Coordinate Descent Faceoff: Primal or Dual? ALT 2018
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption ICML 2018
Fairness Without Demographics in Repeated Loss Minimization ICML 2018
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018
Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity NIPS 2018
Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited NIPS 2018
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes NIPS 2018