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 A Hessian-aware Stochastic Differential Equation For Modelling Sgd, by Xiang Li et al.
A Hessian-Aware Stochastic Differential Equation for Modelling SGDby Xiang Li, Zebang Shen, Liang Zhang, Niao…
Summary of Towards Communication-efficient Federated Learning Via Sparse and Aligned Adaptive Optimization, by Xiumei Deng et al.
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimizationby Xiumei Deng, Jun Li, Kang…
Summary of Diffusion Bridge Autoencoders For Unsupervised Representation Learning, by Yeongmin Kim et al.
Diffusion Bridge AutoEncoders for Unsupervised Representation Learningby Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na,…
Summary of On Mesa-optimization in Autoregressively Trained Transformers: Emergence and Capability, by Chenyu Zheng et al.
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capabilityby Chenyu Zheng, Wei Huang, Rongzhen Wang,…
Summary of Differentiable Cluster Graph Neural Network, by Yanfei Dong et al.
Differentiable Cluster Graph Neural Networkby Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Zhuanghua Liu, Yong…
Summary of Fine-grained Dynamic Framework For Bias-variance Joint Optimization on Data Missing Not at Random, by Mingming Ha et al.
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Randomby Mingming Ha,…
Summary of A Uniform Concentration Inequality For Kernel-based Two-sample Statistics, by Yijin Ni and Xiaoming Huo
A Uniform Concentration Inequality for Kernel-Based Two-Sample Statisticsby Yijin Ni, Xiaoming HuoFirst submitted to arxiv…
Summary of Time-varying Constraint-aware Reinforcement Learning For Energy Storage Control, by Jaeik Jeong et al.
Time-Varying Constraint-Aware Reinforcement Learning for Energy Storage Controlby Jaeik Jeong, Tai-Yeon Ku, Wan-Ki ParkFirst submitted…
Summary of Distributed Event-based Learning Via Admm, by Guner Dilsad Er et al.
Distributed Event-Based Learning via ADMMby Guner Dilsad Er, Sebastian Trimpe, Michael MuehlebachFirst submitted to arxiv…