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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

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem NIPS 2024
Graph Machine Learning through the Lens of Bilevel Optimization AISTATS 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NIPS 2024
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NIPS 2024
Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024
Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective AAAI 2024
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints NIPS 2024
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions JMLR 2024
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization AISTATS 2024
CoBo: Collaborative Learning via Bilevel Optimization NIPS 2024
HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses IJCAI 2024
Boundary Decomposition for Nadir Objective Vector Estimation NIPS 2024
First-Order Minimax Bilevel Optimization NIPS 2024
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling NIPS 2024
Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization NIPS 2024
Functional Bilevel Optimization for Machine Learning NIPS 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization CVPR 2023
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem NIPS 2023
On Penalty-based Bilevel Gradient Descent Method ICML 2023
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start JMLR 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NIPS 2023