conftrace_

bilevel optimization

454 papers

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Also known as

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

SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization ACL 2026 UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation CVPR 2026 Adversarial Training for Defense Against Label Poisoning Attacks ICLR 2025 A First-order Generative Bilevel Optimization Framework for Diffusion Models ICML 2025 A Reduction-Based Algorithm for the Clique Interdiction Problem IJCAI 2025 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025 AutoAL: Automated Active Learning with Differentiable Query Strategy Search ICML 2025 Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection UAI 2025 BILBO: BILevel Bayesian Optimization ICML 2025 Bi-Level Optimization for Self-Supervised AI-Generated Face Detection ICCV 2025 Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling AAAI 2025 Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity AISTATS 2025 Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization AAAI 2025 CoA: Towards Real Image Dehazing via Compression-and-Adaptation CVPR 2025 Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence AAAI 2025 Coreset Selection via Reducible Loss in Continual Learning ICLR 2025 dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation ICLR 2025 Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity JMLR 2025 Direct Prediction Set Minimization via Bilevel Conformal Classifier Training ICML 2025 Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025 Diversified Flow Matching with Translation Identifiability ICML 2025 Domain Adaptive Unfolded Graph Neural Networks AAAI 2025 DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment EMNLP 2025 DPFL: Decentralized Personalized Federated Learning AISTATS 2025 Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization ICML 2025