by instadatahelp | Sep 5, 2023 | AI Blogs
Efficient Learning Using Sufficient Labels: Labels, Information, and Computation Authors: Shiyu Duan, Spencer Chang, Jose C. Principe; Published in 2023, Volume 24(31):1−35. Abstract Supervised learning often requires a large amount of fully-labeled training data,...
by instadatahelp | Sep 5, 2023 | AI Blogs
Overcoming the Curse of Dimensionality in Bayesian Model-Based Clustering Noirrit Kiran Chandra, Antonio Canale, David B. Dunson; 24(144):1−42, 2023. Abstract When clustering high-dimensional data, Bayesian mixture models are commonly used to provide uncertainty...
by instadatahelp | Sep 5, 2023 | AI Blogs
Minimizing the Gap for Knowledge Sharing and Transfer Authors: Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton; Published in 2023; Volume 24, Issue 33, Pages 1-57. Abstract Over the past few decades, there has been...
by instadatahelp | Sep 5, 2023 | AI Blogs
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang; 24(145):1−46, 2023. Abstract The field of model-agnostic meta-learning (MAML) has gained popularity in recent...
by instadatahelp | Sep 5, 2023 | AI Blogs
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? Authors: Han Zhong, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan; Published: 24(35):1−52, 2023. Abstract This study focuses on multi-player...
by instadatahelp | Sep 5, 2023 | AI Blogs
Off-Policy Actor-Critic with Emphatic Weightings Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White; 24(146):1−63, 2023. Abstract A variety of policy gradient algorithms have been developed for the on-policy setting based on the policy gradient theorem, which...
