Summary of A Precise Characterization Of Sgd Stability Using Loss Surface Geometry, by Gregory Dexter et al.
A Precise Characterization of SGD Stability Using Loss Surface Geometryby Gregory Dexter, Borja Ocejo, Sathiya…
Summary of Towards Improved Variational Inference For Deep Bayesian Models, by Sebastian W. Ober
Towards Improved Variational Inference for Deep Bayesian Modelsby Sebastian W. OberFirst submitted to arxiv on:…
Summary of Reinforcement Learning For Graph Coloring: Understanding the Power and Limits Of Non-label Invariant Representations, by Chase Cummins and Richard Veras
Reinforcement Learning for Graph Coloring: Understanding the Power and Limits of Non-Label Invariant Representationsby Chase…
Summary of The Dimension Strikes Back with Gradients: Generalization Of Gradient Methods in Stochastic Convex Optimization, by Matan Schliserman and Uri Sherman and Tomer Koren
The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimizationby Matan…
Summary of Momentum-sam: Sharpness Aware Minimization Without Computational Overhead, by Marlon Becker et al.
Momentum-SAM: Sharpness Aware Minimization without Computational Overheadby Marlon Becker, Frederick Altrock, Benjamin RisseFirst submitted to…
Summary of Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning, by Philip Amortila et al.
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learningby Philip Amortila, Tongyi Cao,…
Summary of An Improved Grey Wolf Optimization Algorithm For Heart Disease Prediction, by Sihan Niu et al.
An Improved Grey Wolf Optimization Algorithm for Heart Disease Predictionby Sihan Niu, Yifan Zhou, Zhikai…
Summary of Graph Condensation: a Survey, by Xinyi Gao et al.
Graph Condensation: A Surveyby Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi…
Summary of Fedgta: Topology-aware Averaging For Federated Graph Learning, by Xunkai Li et al.
FedGTA: Topology-aware Averaging for Federated Graph Learningby Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu,…
Summary of Causal Generative Explainers Using Counterfactual Inference: a Case Study on the Morpho-mnist Dataset, by Will Taylor-melanson and Zahra Sadeghi and Stan Matwin
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Datasetby Will Taylor-Melanson,…