bilevel optimization

Hacking Task Confounder in Meta-Learning IJCAI 2024 HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning ICML 2024 Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion AAAI 2024 HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses IJCAI 2024 Improving SAM Requires Rethinking its Optimization Formulation ICML 2024 IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance AAAI 2024 Learning model uncertainty as variance-minimizing instance weights ICLR 2024 Learning Multi-Agent Communication from Graph Modeling Perspective ICLR 2024 Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s) ICLR 2024 Learning to Rank for Active Learning via Multi-Task Bilevel Optimization UAI 2024 Learning to Reweight for Generalizable Graph Neural Network AAAI 2024 Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation ICLR 2024 Leveraging Separated World Model for Exploration in Visually Distracted Environments NeurIPS 2024 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery ICML 2024 Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization NeurIPS 2024 Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization AISTATS 2024 M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy AAAI 2024 Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach NeurIPS 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NeurIPS 2024 MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning CVPR 2024 MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning AAAI 2024 Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis ICLR 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence ICML 2024 MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024