implicit differentiation

DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation ICML 2025 Efficiently Escaping Saddle Points in Bilevel Optimization JMLR 2025 Implicit Diffusion: Efficient optimization through stochastic sampling AISTATS 2025 Learning Set Functions with Implicit Differentiation AAAI 2025 Dynamic Spiking Graph Neural Networks AAAI 2024 Efficient Score Matching with Deep Equilibrium Layers ICLR 2024 Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates ICML 2024 SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation AAAI 2024 Taming Binarized Neural Networks and Mixed-Integer Programs AAAI 2024 Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models AAAI 2023 Alternating Differentiation for Optimization Layers ICLR 2023 Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths ICLR 2023 Deep Equilibrium Non-Autoregressive Sequence Learning ACL 2023 Geometric Random Walk Graph Neural Networks via Implicit Layers AISTATS 2023 Global Convergence of Over-parameterized Deep Equilibrium Models AISTATS 2023 Making Scalable Meta Learning Practical NeurIPS 2023 Nyström Method for Accurate and Scalable Implicit Differentiation AISTATS 2023 One-step differentiation of iterative algorithms NeurIPS 2023 Revisiting Implicit Differentiation for Learning Problems in Optimal Control NeurIPS 2023 Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023 Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation ICLR 2023 Unbiased learning of deep generative models with structured discrete representations NeurIPS 2023 Amortized Implicit Differentiation for Stochastic Bilevel Optimization ICLR 2022 A Unified Framework for Implicit Sinkhorn Differentiation CVPR 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NeurIPS 2022