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https://jmlr.org/papers/v26/25-0677.html Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity bilevel optimizationdecentralizedperspectivetransientiteration https://openreview.net/forum?id=7OPHCeXcSS Double Momentum Method for Lower-Level Constrained Bilevel Optimization | OpenReview Bilevel optimization (BO) has recently gained prominence in many machine learning applications due to its ability to capture the nested structure inherent in... lower levelbilevel optimizationdoublemomentummethod https://openreview.net/forum?id=4rxrfygrQO Bilevel Optimization with Lower-Level Contextual MDPs | OpenReview Recent research has focused on providing the right incentives to learning agents in dynamic settings. Given the high-stakes applications, the design of... bilevel optimizationlowercontextualopenreview https://openreview.net/forum?id=HvRAM-dpmEv BiGrad: Differentiating through Bilevel Optimization Programming | OpenReview We propose BiGrad, a method to estimate gradients for Bilevel Optimization problems. Bilevel programming models systems with conflicting objectives as in... bilevel optimizationprogrammingopenreview https://openreview.net/forum?id=DHwfECmgKv Online Nonconvex Bilevel Optimization with Bregman Divergences | OpenReview Bilevel optimization methods are increasingly relevant within machine learning, especially for tasks such as hyperparameter optimization and meta-learning.... bilevel optimizationonlinenonconvexbregmandivergences https://jmlr.org/papers/v26/24-0187.html Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis bilevel optimizationdistributedstochasticimprovedcomplexity https://openreview.net/forum?id=pBpwRkEIjR3 Enhanced Bilevel Optimization via Bregman Distance | OpenReview Bilevel optimization has been recently used in many machine learning problems such as hyperparameter optimization, policy optimization, and meta learning.... bilevel optimizationbregman distanceenhancedviaopenreview https://openreview.net/forum?id=PvDY71zKsvP Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning |... We study a generic min-max bilevel multi-objective optimization framework with novel theoretical analysis and applications in representation learning and... min maxbilevel optimization https://openreview.net/forum?id=sBfTc3SD9gp BiAdam: Fast Adaptive Bilevel Optimization Methods | OpenReview Bilevel optimization recently has attracted increased interest in machine learning due to its many applications such as hyper-parameter optimization and mate... bilevel optimizationfastadaptivemethodsopenreview https://jmlr.org/papers/v25/23-1323.html Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions bilevel optimizationoptimalalgorithmsstochasticrelaxed https://jmlr.org/papers/v26/23-1104.html Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles bilevel optimization https://openreview.net/forum?id=CvYBvgEUK9 On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation |... In this work, we study first-order algorithms for solving Bilevel Optimization (BO) where the objective functions are smooth but possibly nonconvex in both... penalty methodsbilevel optimization https://openreview.net/forum?id=LVqWNYhPXR Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level | OpenReview Bilevel optimization is widely applied in many machine learning tasks such as hyper-parameter learning and meta learning. Recently, many algorithms have been... bilevel optimizationgeneralizedsmoothnonconvexlower https://deepai.org/publication/bileveljump-jl-modeling-and-solving-bilevel-optimization-in-julia BilevelJuMP.jl: Modeling and Solving Bilevel Optimization in Julia | DeepAI May 4, 2022 - 05/04/22 - In this paper we present BilevelJuMP, a new Julia package to support bilevel optimization within the JuMP framework. The package i... bilevel optimizationjlmodelingsolvingjulia https://deepai.org/publication/es-based-jacobian-enables-faster-bilevel-optimization ES-Based Jacobian Enables Faster Bilevel Optimization | DeepAI Oct 13, 2021 - 10/13/21 - Bilevel optimization (BO) has arisen as a powerful tool for solving many modern machine learning problems. However, due to the nes... bilevel optimizationesbasedjacobianfaster https://openreview.net/forum?id=jxMAPMqNr5&referrer=%5Bthe%20profile%20of%20Jia%20Liu%5D(%2Fprofile%3Fid%3D~Jia_Liu1) DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity | OpenReview Decentralized bilevel optimization (DBO) provides a powerful framework for multi-agent systems to solve local bilevel tasks in a decentralized fashion without... bilevel optimizationstrong convexityduetdecentralizedwithout https://deepai.org/publication/bilevel-optimization-with-a-lower-level-contraction-optimal-sample-complexity-without-warm-start Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start |... Feb 7, 2022 - 02/07/22 - We analyze a general class of bilevel problems, in which the upper-level problem consists in the minimization of a smooth objectiv... https://arxiv.org/abs/2601.13448 [2601.13448] Fairness-informed Pareto Optimization : An Efficient Bilevel Framework Abstract page for arXiv paper 2601.13448: Fairness-informed Pareto Optimization : An Efficient Bilevel Framework pareto optimization260113448fairnessinformed https://openreview.net/forum?id=HjFtRc83eBB A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum | OpenReview https://jmlr.org/papers/v22/18-485.html On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization lphyperparameterlearningviabilevel https://deepai.org/publication/the-hammer-and-the-nut-is-bilevel-optimization-really-needed-to-poison-linear-classifiers The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? | DeepAI Mar 23, 2021 - 03/23/21 - One of the most concerning threats for modern AI systems is data poisoning, where the attacker injects maliciously crafted trainin...