conftrace_

empirical loss

9 papers

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gradient descent (2) sample complexity (2) self-concordant function (1) preconditioned conjugate gradient (1) breakdown point (1) population loss (1) data-driven algorithm (1) polyak stepsize (1) sketching matrix (1) convex-concave upper bound (1)

Papers

Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data ICML 2025 A Stochastic Bundle Method for Interpolation JMLR 2022 Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems JMLR 2022 Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent AISTATS 2022 Learning-Based Low-Rank Approximations NeurIPS 2019 Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization COLT 2017 DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015 Efficient Non-greedy Optimization of Decision Trees NeurIPS 2015 Concept Drift Detection Through Resampling ICML 2014