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bilevel optimization

454 papers

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BO

Co-occurring keywords · papers mentioning both

hyperparameter optimization (35) stochastic optimization (29) neural network (20) gradient descent (19) few-shot learning (17) reinforcement learning (16) implicit differentiation (14) neural architecture search (14) domain adaptation (14) adversarial attack (13)

Papers

Multiplex Graph Representation Learning via Bi-level Optimization IJCAI 2024 Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024 Neur2BiLO: Neural Bilevel Optimization NeurIPS 2024 Offline Reward Perturbation Boosts Distributional Shift in Online RL UAI 2024 On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis COLT 2024 Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods AISTATS 2024 On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation ICLR 2024 On The Complexity of First-Order Methods in Stochastic Bilevel Optimization ICML 2024 On the Maximal Local Disparity of Fairness-Aware Classifiers ICML 2024 Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions JMLR 2024 Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization ICML 2024 OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport ICML 2024 PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback ICLR 2024 Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds NeurIPS 2024 Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF ICML 2024 Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling NeurIPS 2024 ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion ICLR 2024 Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective AAAI 2024 SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation ICLR 2024 Self-Supervised Dataset Distillation for Transfer Learning ICLR 2024 Self-Supervised Representation Learning with Meta Comprehensive Regularization AAAI 2024 Soft-Label Integration for Robust Toxicity Classification NeurIPS 2024 SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NeurIPS 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 Targeted Sequential Indirect Experiment Design NeurIPS 2024