Poster "bi-level optimization" Papers

18 papers found

Bayesian Experimental Design Via Contrastive Diffusions

Jacopo Iollo, Christophe Heinkelé, Pierre Alliez et al.

ICLR 2025posterarXiv:2410.11826
6
citations

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching

Xingjian Wu, Xiangfei Qiu, Zhengyu Li et al.

ICLR 2025posterarXiv:2410.12261
59
citations

FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning

Li Zhang, Zhongxuan Han, XiaoHua Feng et al.

NeurIPS 2025posterarXiv:2506.03777
1
citations

Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs

Hao Fang, Changle Zhou, Jiawei Kong et al.

NeurIPS 2025posterarXiv:2505.19678
6
citations

Inverse Methods for Missing Data Imputation

Hao Wang, zhengnan li, Zhichao Chen et al.

NeurIPS 2025poster

MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization

Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo et al.

NeurIPS 2025posterarXiv:2505.17745
5
citations

Optimizing importance weighting in the presence of sub-population shifts

Floris Holstege, Bram Wouters, Noud Giersbergen et al.

ICLR 2025posterarXiv:2410.14315
1
citations

Quantized Spike-driven Transformer

Xuerui Qiu, Malu Zhang, Jieyuan Zhang et al.

ICLR 2025posterarXiv:2501.13492
14
citations

Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization

Xingyu Jiang, Ning Gao, Xiuhui Zhang et al.

ICLR 2025poster

Advancing Dynamic Sparse Training by Exploring Optimization Opportunities

Jie Ji, Gen Li, Lu Yin et al.

ICML 2024poster

BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation

Li Zhang, Youwei Liang, Ruiyi Zhang et al.

ICML 2024poster

DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation

Qinshuo Liu, Zixin Wang, Xi'an Li et al.

ICML 2024poster

DOGE: Domain Reweighting with Generalization Estimation

Simin Fan, Matteo Pagliardini, Martin Jaggi

ICML 2024poster

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering

Yongxin Guo, Xiaoying Tang, Tao Lin

ICML 2024poster

HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning

Shengchao Hu, Ziqing Fan, Li Shen et al.

ICML 2024poster

MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence

Hongduan Tian, Feng Liu, Tongliang Liu et al.

ICML 2024poster

On the Maximal Local Disparity of Fairness-Aware Classifiers

Jinqiu Jin, Haoxuan Li, Fuli Feng

ICML 2024poster

Toward Availability Attacks in 3D Point Clouds

Yifan Zhu, Yibo Miao, Yinpeng Dong et al.

ICML 2024poster