https://github.com/lasgroup/hpgd
공식 코드Contextual Bilevel Reinforcement Learning for Incentive Alignment
Papers with Code 아카이브
Bilevel Optimization
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Bilevel Optimization is a branch of optimization, which contains a nested optimization problem within the constraints of the outer optimization problem. The outer optimization task is usually referred as the upper level task, and the nested inner optimization task is referred as the lower level task. The lower level problem appears as a constraint, such that only an optimal solution to the lower level optimization problem is a possible feasible candidate to the upper level optimization problem.
Source: Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lfsimoes/beam_paco__gtoc5
공식 코드Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO
https://github.com/liar406/gui-lomo
공식 코드https://github.com/linqs/dickens-icml24
공식 코드Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
https://github.com/lionelmessi6410/ntga
공식 코드Single-level Adversarial Data Synthesis based on Neural Tangent Kernels
https://github.com/liuyixin-louis/metacloak
공식 코드https://github.com/locuslab/optnet
공식 코드OptNet: Differentiable Optimization as a Layer in Neural Networks
https://github.com/luinardi/hypermapper
공식 코드HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses
https://github.com/melisilaydabal/floral
공식 코드Adversarial Training for Defense Against Label Poisoning Attacks
https://github.com/michaelarbel/amigo
공식 코드Amortized Implicit Differentiation for Stochastic Bilevel Optimization
https://github.com/mingruiliu-ml-lab/accelerated-bilevel-optimization-unbounded-smoothness
공식 코드An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
https://github.com/mingruiliu-ml-lab/bilevel-optimization-under-unbounded-smoothness
공식 코드Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
https://github.com/minimario/morbit
공식 코드Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning
https://github.com/misonuma/instopt
공식 코드Differentiable Instruction Optimization for Cross-Task Generalization
https://github.com/moskomule/hypergrad
공식 코드Nystrom Method for Accurate and Scalable Implicit Differentiation
https://github.com/nicolas-guerra/learning-where-to-learn
공식 코드Learning Where to Learn: Training Distribution Selection for Provable OOD Performance
https://github.com/o4lc/sgf-blo
공식 코드https://github.com/optimization-ai/icml2023_bsvrb
공식 코드https://github.com/optmn-lab/-bilb4mtl
공식 코드LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy Control
https://github.com/optmn-lab/ldc-mtl
공식 코드LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy Control
https://github.com/optmn-lab/tfbo
공식 코드Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis
https://github.com/orlitany/SOSELETO
공식 코드SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels
https://github.com/phquang/Bilevel-Continual-Learning
공식 코드https://github.com/pomonam/Self-Tuning-Networks
공식 코드Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians
https://github.com/pwang30/Code_of_bilevel_DSO_VPPs
공식 코드Analyzing the Role of the DSO in Electricity Trading of VPPs via a Stackelberg Game Model
https://github.com/rezashkv/diffusion_pruning
공식 코드Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
https://github.com/ruoxi-jia-group/meta-sift
공식 코드How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
https://github.com/saferl-lab/safe-marl-in-autonomous-driving
공식 코드Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
https://github.com/sair-lab/iMatching
공식 코드https://github.com/sair-lab/imtsp
공식 코드iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
https://github.com/sair-lab/islam
공식 코드https://github.com/samchevalier/rambo
공식 코드Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets
https://github.com/saper0/qpcert
공식 코드Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
https://github.com/sch971111/mof
공식 코드Efficient Cross-Modal Video Retrieval with Meta-Optimized Frames
https://github.com/smounsav/bilevel_augment_histo
공식 코드Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
https://github.com/sowmaster/esjacobians
공식 코드On the Convergence Theory for Hessian-Free Bilevel Algorithms
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.