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bilevel optimization

194 papers

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Also known as

BO

Co-occurring keywords

stochastic optimization (1060) hyperparameter optimization (406) neural network (6616) gradient descent (1144) reinforcement learning (4352) federated learning (1333) convergence rate (607) implicit differentiation (45) hypergradient estimation (8) variance reduction (523)

Papers

One-step differentiation of iterative algorithms NIPS 2023
Contextual Stochastic Bilevel Optimization NIPS 2023
SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization NIPS 2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings NIPS 2023
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem AISTATS 2023
Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization NIPS 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions NIPS 2023
Achieving $\mathcal{O}(\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization NIPS 2023
Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory AAAI 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization AAAI 2023
Show Me the Way! Bilevel Search for Synthesizing Programmatic Strategies AAAI 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective NIPS 2023
Nyström Method for Accurate and Scalable Implicit Differentiation AISTATS 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning CVPR 2023
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization ICML 2023
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters ICCV 2023
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NIPS 2023
From Hypergraph Energy Functions to Hypergraph Neural Networks ICML 2023
Differentiable Instruction Optimization for Cross-Task Generalization ACL 2023
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity ICML 2023
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023
On Penalty-based Bilevel Gradient Descent Method ICML 2023
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition NIPS 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023