quadratic approximation

Debiasing Mini-Batch Quadratics for Applications in Deep Learning ICLR 2025 MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation ICLR 2025 CoFie: Learning Compact Neural Surface Representations with Coordinate Fields NeurIPS 2024 Any-scale Balanced Samplers for Discrete Space ICLR 2023 Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis NeurIPS 2022 Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks ICLR 2020 A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017 Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014 Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NeurIPS 2011 Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008