Summary of Efficient Black-box Adversarial Attacks Via Bayesian Optimization Guided by a Function Prior, By Shuyu Cheng et al.
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Priorby Shuyu Cheng, Yibo…
Summary of Offline Regularised Reinforcement Learning For Large Language Models Alignment, by Pierre Harvey Richemond et al.
Offline Regularised Reinforcement Learning for Large Language Models Alignmentby Pierre Harvey Richemond, Yunhao Tang, Daniel…
Summary of Federated Learning Under Partially Class-disjoint Data Via Manifold Reshaping, by Ziqing Fan et al.
Federated Learning under Partially Class-Disjoint Data via Manifold Reshapingby Ziqing Fan, Jiangchao Yao, Ruipeng Zhang,…
Summary of Kernel Semi-implicit Variational Inference, by Ziheng Cheng et al.
Kernel Semi-Implicit Variational Inferenceby Ziheng Cheng, Longlin Yu, Tianyu Xie, Shiyue Zhang, Cheng ZhangFirst submitted…
Summary of Fedmap: Unlocking Potential in Personalized Federated Learning Through Bi-level Map Optimization, by Fan Zhang et al.
FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimizationby Fan Zhang, Carlos Esteve-Yagüe,…
Summary of Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space, by Minji Lee et al.
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Spaceby Minji Lee, Luiz…
Summary of Domain-inspired Sharpness-aware Minimization Under Domain Shifts, by Ruipeng Zhang et al.
Domain-Inspired Sharpness-Aware Minimization Under Domain Shiftsby Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng…
Summary of Inference-time Alignment Of Diffusion Models with Direct Noise Optimization, by Zhiwei Tang et al.
Inference-Time Alignment of Diffusion Models with Direct Noise Optimizationby Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang,…
Summary of Spectral-risk Safe Reinforcement Learning with Convergence Guarantees, by Dohyeong Kim et al.
Spectral-Risk Safe Reinforcement Learning with Convergence Guaranteesby Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung,…
Summary of Preferred-action-optimized Diffusion Policies For Offline Reinforcement Learning, by Tianle Zhang et al.
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learningby Tianle Zhang, Jiayi Guan, Lin Zhao, Yihang Li,…