Summary of Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits, by Ziyi Huang et al.
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Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Banditsby Ziyi Huang, Henry Lam, Haofeng…
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Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learningby Xiaolei Wang, Xinyu Tang,…
Causal Inference with Latent Variables: Recent Advances and Future Prospectivesby Yaochen Zhu, Yinhan He, Jing…
Integrating Fuzzy Logic with Causal Inference: Enhancing the Pearl and Neyman-Rubin Methodologiesby Amir Saki, Usef…
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VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Modelsby Haowen Hou, Peigen Zeng, Fei Ma,…
Bayesian Circular Regression with von Mises Quasi-Processesby Yarden Cohen, Alexandre Khae Wu Navarro, Jes Frellsen,…
Sparse High Rank Adaptersby Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Shreya Kadambi,…
A Generic Method for Fine-grained Category Discovery in Natural Language Textsby Chang Tian, Matthew B.…