Summary of Dynamic Anisotropic Smoothing For Noisy Derivative-free Optimization, by Sam Reifenstein et al.
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimizationby Sam Reifenstein, Timothee Leleu, Yoshihisa YamamotoFirst submitted to…
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimizationby Sam Reifenstein, Timothee Leleu, Yoshihisa YamamotoFirst submitted to…
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarksby Guanhua Zhang, Moritz HardtFirst submitted to…
ALCM: Autonomous LLM-Augmented Causal Discovery Frameworkby Elahe Khatibi, Mahyar Abbasian, Zhongqi Yang, Iman Azimi, Amir…
Enhancing User Experience in On-Device Machine Learning with Gated Compression Layersby Haiguang Li, Usama Pervaiz,…
Large Language Models for UAVs: Current State and Pathways to the Futureby Shumaila Javaid, Nasir…
Reinforcement Learning-Guided Semi-Supervised Learningby Marzi Heidari, Hanping Zhang, Yuhong GuoFirst submitted to arxiv on: 2…
Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglementby Han Wang, Eiji Kawasaki, Guillaume…
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Timeby Shengyao Lu, Bang Liu, Keith…
Hierarchical mixture of discriminative Generalized Dirichlet classifiersby Elvis Togban, Djemel ZiouFirst submitted to arxiv on:…
Non-linear Welfare-Aware Strategic Learningby Tian Xie, Xueru ZhangFirst submitted to arxiv on: 3 May 2024CategoriesMain:…