Summary of Understanding Optimal Feature Transfer Via a Fine-grained Bias-variance Analysis, by Yufan Li et al.
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysisby Yufan Li, Subhabrata Sen, Ben AdlamFirst…
Summary of A Mean-field Analysis Of Neural Stochastic Gradient Descent-ascent For Functional Minimax Optimization, by Yuchen Zhu et al.
A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimizationby Yuchen Zhu, Yufeng…
Summary of Multi-fidelity Gaussian Process Surrogate Modeling For Regression Problems in Physics, by Kislaya Ravi et al.
Multi-fidelity Gaussian process surrogate modeling for regression problems in physicsby Kislaya Ravi, Vladyslav Fediukov, Felix…
Summary of Variational Bayesian Last Layers, by James Harrison et al.
Variational Bayesian Last Layersby James Harrison, John Willes, Jasper SnoekFirst submitted to arxiv on: 17…
Summary of Analytical Results For Uncertainty Propagation Through Trained Machine Learning Regression Models, by Andrew Thompson
Analytical results for uncertainty propagation through trained machine learning regression modelsby Andrew ThompsonFirst submitted to…
Summary of The Causal Chambers: Real Physical Systems As a Testbed For Ai Methodology, by Juan L. Gamella et al.
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodologyby Juan L. Gamella,…
Summary of Achieving Constant Regret in Linear Markov Decision Processes, by Weitong Zhang and Zhiyuan Fan and Jiafan He and Quanquan Gu
Achieving Constant Regret in Linear Markov Decision Processesby Weitong Zhang, Zhiyuan Fan, Jiafan He, Quanquan…
Summary of Sparse Attention Regression Network Based Soil Fertility Prediction with Ummaso, by R V Raghavendra Rao et al.
Sparse Attention Regression Network Based Soil Fertility Prediction With Ummasoby R V Raghavendra Rao, U…
Summary of Map-relative Pose Regression For Visual Re-localization, by Shuai Chen et al.
Map-Relative Pose Regression for Visual Re-Localizationby Shuai Chen, Tommaso Cavallari, Victor Adrian Prisacariu, Eric BrachmannFirst…
Summary of Latticeml: a Data-driven Application For Predicting the Effective Young Modulus Of High Temperature Graph Based Architected Materials, by Akshansh Mishra
LatticeML: A data-driven application for predicting the effective Young Modulus of high temperature graph based…