empirical risk minimization

Open Problem: Monotonicity of Learning COLT 2019 Renyi Differentially Private ERM for Smooth Objectives AISTATS 2019 Scalable Approximations for Generalized Linear Problems JMLR 2019 Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization ICML 2019 Solving Empirical Risk Minimization in the Current Matrix Multiplication Time COLT 2019 Stagewise Training Accelerates Convergence of Testing Error Over SGD NeurIPS 2019 The Common-directions Method for Regularized Empirical Risk Minimization JMLR 2019 Theoretical Analysis of Label Distribution Learning AAAI 2019 Towards closing the gap between the theory and practice of SVRG NeurIPS 2019 Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations JMLR 2019 Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization NeurIPS 2018 Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization JMLR 2018 Binary Classification from Positive-Confidence Data NeurIPS 2018 Coordinate Descent Faceoff: Primal or Dual? ALT 2018 Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NeurIPS 2018 Efficient Stochastic Gradient Hard Thresholding NeurIPS 2018 Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited NeurIPS 2018 Empirical Risk Minimization Under Fairness Constraints NeurIPS 2018 Fairness Without Demographics in Repeated Loss Minimization ICML 2018 Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018 Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NeurIPS 2018 GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NeurIPS 2018 Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk COLT 2018 Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018 Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method AISTATS 2018