Summary of Can a Large Language Model Learn Matrix Functions in Context?, by Paimon Goulart and Evangelos E. Papalexakis
Can a Large Language Model Learn Matrix Functions In Context?by Paimon Goulart, Evangelos E. PapalexakisFirst…
Summary of Differentially Private Learning Beyond the Classical Dimensionality Regime, by Cynthia Dwork et al.
Differentially Private Learning Beyond the Classical Dimensionality Regimeby Cynthia Dwork, Pranay Tankala, Linjun ZhangFirst submitted…
Summary of Bali: Learning Neural Networks Via Bayesian Layerwise Inference, by Richard Kurle et al.
BALI: Learning Neural Networks via Bayesian Layerwise Inferenceby Richard Kurle, Alexej Klushyn, Ralf HerbrichFirst submitted…
Summary of Interpretation Of High-dimensional Regression Coefficients by Comparison with Linearized Compressing Features, By Joachim Schaeffer et al.
Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Featuresby Joachim Schaeffer, Jinwook Rhyu,…
Summary of On the Efficiency Of Erm in Feature Learning, by Ayoub El Hanchi et al.
On the Efficiency of ERM in Feature Learningby Ayoub El Hanchi, Chris J. Maddison, Murat…
Summary of Re-examining Learning Linear Functions in Context, by Omar Naim et al.
Re-examining learning linear functions in contextby Omar Naim, Guilhem Fouilhé, Nicholas AsherFirst submitted to arxiv…
Summary of Efficient, Low-regret, Online Reinforcement Learning For Linear Mdps, by Philips George John et al.
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPsby Philips George John, Arnab Bhattacharyya, Silviu Maniu,…
Summary of Machine Learning Algorithms to Assess Site Closure Time Frames For Soil and Groundwater Contamination, by Vu-anh Le et al.
Machine Learning Algorithms to Assess Site Closure Time Frames for Soil and Groundwater Contaminationby Vu-Anh…
Summary of Kernel-based Retrieval Models For Hyperspectral Image Data Optimized with Kernel Flows, by Zina-sabrina Duma et al.
Kernel-based retrieval models for hyperspectral image data optimized with Kernel Flowsby Zina-Sabrina Duma, Tuomas Sihvonen,…
Summary of Adversarial Robustness Of In-context Learning in Transformers For Linear Regression, by Usman Anwar et al.
Adversarial Robustness of In-Context Learning in Transformers for Linear Regressionby Usman Anwar, Johannes Von Oswald,…