Showing 21–32 of 32 results
/ Date/ Name
Dec 2, 2024Multi-Scale Representation Learning for Protein Fitness PredictionMar 10, 2025Can Memory-Augmented Language Models Generalize on Reasoning-in-a-Haystack Tasks?Mar 23, 2026A Context Engineering Framework for Improving Enterprise AI Agents based on Digital-Twin MDPJul 15, 2020A General Family of Stochastic Proximal Gradient Methods for Deep LearningApr 13, 2016Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix CompletionMay 26, 2019Stochastic Gradient Methods with Block Diagonal Matrix AdaptationOct 4, 2017Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant VarietiesMay 13, 2017Learning task structure via sparsity grouped multitask learningJul 2, 2020A Revision of Neural Tangent Kernel-based Approaches for Neural NetworksOct 28, 2015Robust Gaussian Graphical Modeling with the Trimmed Graphical LassoOct 17, 2012Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger CausalityFeb 19, 2014Sparse Quantile Huber Regression for Efficient and Robust Estimation