Summary of Doublemldeep: Estimation Of Causal Effects with Multimodal Data, by Sven Klaassen et al.
DoubleMLDeep: Estimation of Causal Effects with Multimodal Databy Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor…
Summary of Position Paper: Generalized Grammar Rules and Structure-based Generalization Beyond Classical Equivariance For Lexical Tasks and Transduction, by Mircea Petrache et al.
Position Paper: Generalized grammar rules and structure-based generalization beyond classical equivariance for lexical tasks and…
Summary of Alert-transformer: Bridging Asynchronous and Synchronous Machine Learning For Real-time Event-based Spatio-temporal Data, by Carmen Martin-turrero et al.
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Databy Carmen Martin-Turrero, Maxence…
Summary of An Information Theoretic Approach to Machine Unlearning, by Jack Foster et al.
An Information Theoretic Approach to Machine Unlearningby Jack Foster, Kyle Fogarty, Stefan Schoepf, Zack Dugue,…
Summary of Mission Critical — Satellite Data Is a Distinct Modality in Machine Learning, by Esther Rolf et al.
Mission Critical – Satellite Data is a Distinct Modality in Machine Learningby Esther Rolf, Konstantin…
Summary of Why Do Random Forests Work? Understanding Tree Ensembles As Self-regularizing Adaptive Smoothers, by Alicia Curth and Alan Jeffares and Mihaela Van Der Schaar
Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothersby Alicia Curth, Alan…
Summary of Mapping the Multiverse Of Latent Representations, by Jeremy Wayland et al.
Mapping the Multiverse of Latent Representationsby Jeremy Wayland, Corinna Coupette, Bastian RieckFirst submitted to arxiv…
Summary of Enhancing Stochastic Gradient Descent: a Unified Framework and Novel Acceleration Methods For Faster Convergence, by Yichuan Deng et al.
Enhancing Stochastic Gradient Descent: A Unified Framework and Novel Acceleration Methods for Faster Convergenceby Yichuan…
Summary of Extremecast: Boosting Extreme Value Prediction For Global Weather Forecast, by Wanghan Xu et al.
ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecastby Wanghan Xu, Kang Chen, Tao Han,…
Summary of Supervised Algorithmic Fairness in Distribution Shifts: a Survey, by Minglai Shao et al.
Supervised Algorithmic Fairness in Distribution Shifts: A Surveyby Minglai Shao, Dong Li, Chen Zhao, Xintao…