Summary of Batch-icl: Effective, Efficient, and Order-agnostic In-context Learning, by Kaiyi Zhang et al.
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learningby Kaiyi Zhang, Ang Lv, Yuhan Chen, Hansen Ha,…
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learningby Kaiyi Zhang, Ang Lv, Yuhan Chen, Hansen Ha,…
Extreme Compression of Large Language Models via Additive Quantizationby Vage Egiazarian, Andrei Panferov, Denis Kuznedelev,…
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional…
Optimistic Model Rollouts for Pessimistic Offline Policy Optimizationby Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong…
Graph Q-Learning for Combinatorial Optimizationby Victoria M. Dax, Jiachen Li, Kevin Leahy, Mykel J. KochenderferFirst…
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimizationby Xu Cai, Jonathan ScarlettFirst submitted…
Functional Graphical Models: Structure Enables Offline Data-Driven Optimizationby Jakub Grudzien Kuba, Masatoshi Uehara, Pieter Abbeel,…
Correlated Quantization for Faster Nonconvex Distributed Optimizationby Andrei Panferov, Yury Demidovich, Ahmad Rammal, Peter RichtárikFirst…
An Information Theoretic Approach to Interaction-Grounded Learningby Xiaoyan Hu, Farzan Farnia, Ho-fung LeungFirst submitted to…
Do Vision and Language Encoders Represent the World Similarly?by Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz…