implicit function theorem

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization AISTATS 2024 Stereo Risk: A Continuous Modeling Approach to Stereo Matching ICML 2024 Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients ICLR 2023 Exact Gradient Computation for Spiking Neural Networks via Forward Propagation AISTATS 2023 Learning differentiable solvers for systems with hard constraints ICLR 2023 Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation NeurIPS 2022 Second-Order Sensitivity Analysis for Bilevel Optimization AISTATS 2022 Adversarially robust learning for security-constrained optimal power flow NeurIPS 2021 iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients ICML 2021 Implicit rate-constrained optimization of non-decomposable objectives ICML 2021 An implicit function learning approach for parametric modal regression NeurIPS 2020 Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020 Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem RSS 2017