Summary of High Dimensional Bayesian Optimization Via Condensing-expansion Projection, by Jiaming Lu and Rong J.b. Zhu
High dimensional Bayesian Optimization via Condensing-Expansion Projectionby Jiaming Lu, Rong J.B. ZhuFirst submitted to arxiv…
Summary of Understanding the Performance and Estimating the Cost Of Llm Fine-tuning, by Yuchen Xia et al.
Understanding the Performance and Estimating the Cost of LLM Fine-Tuningby Yuchen Xia, Jiho Kim, Yuhan…
Summary of Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks, by Yudi Huang et al.
Overlay-based Decentralized Federated Learning in Bandwidth-limited Networksby Yudi Huang, Tingyang Sun, Ting HeFirst submitted to…
Summary of Fuse-ing Language Models: Zero-shot Adapter Discovery For Prompt Optimization Across Tokenizers, by Joshua Nathaniel Williams et al.
FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across Tokenizersby Joshua Nathaniel Williams, J.…
Summary of Interventional Causal Structure Discovery Over Graphical Models with Convergence and Optimality Guarantees, by Qiu Chengbo et al.
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guaranteesby Qiu Chengbo, Yang…
Summary of How Transformers Utilize Multi-head Attention in In-context Learning? a Case Study on Sparse Linear Regression, by Xingwu Chen et al.
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regressionby…
Summary of Optimization-driven Adaptive Experimentation, by Ethan Che et al.
Optimization-Driven Adaptive Experimentationby Ethan Che, Daniel R. Jiang, Hongseok Namkoong, Jimmy WangFirst submitted to arxiv…
Summary of Constructing Adversarial Examples For Vertical Federated Learning: Optimal Client Corruption Through Multi-armed Bandit, by Duanyi Yao et al.
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Banditby Duanyi Yao,…
Summary of Model-based Transfer Learning For Contextual Reinforcement Learning, by Jung-hoon Cho et al.
Model-Based Transfer Learning for Contextual Reinforcement Learningby Jung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy WuFirst…
Summary of Cooperative Multi-agent Deep Reinforcement Learning in Content Ranking Optimization, by Zhou Qin et al.
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimizationby Zhou Qin, Kai Yuan, Pratik Lahiri,…