Summary of Fair Minimum Representation Clustering, by Connor Lawless et al.
Fair Minimum Representation Clusteringby Connor Lawless, Oktay GunlukFirst submitted to arxiv on: 6 Feb 2023CategoriesMain:…
Summary of On the Convergence Of Decentralized Federated Learning Under Imperfect Information Sharing, by Vishnu Pandi Chellapandi et al.
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharingby Vishnu Pandi Chellapandi, Antesh…
Summary of Sober: Highly Parallel Bayesian Optimization and Bayesian Quadrature Over Discrete and Mixed Spaces, by Masaki Adachi et al.
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spacesby Masaki Adachi,…
Summary of Mixed Integer Linear Optimization Formulations For Learning Optimal Binary Classification Trees, by Brandon Alston et al.
Mixed integer linear optimization formulations for learning optimal binary classification treesby Brandon Alston, Hamidreza Validi,…
Summary of Learning Multiresolution Matrix Factorization and Its Wavelet Networks on Graphs, by Truong Son Hy and Risi Kondor
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphsby Truong Son Hy, Risi KondorFirst…
Summary of Tackling System and Statistical Heterogeneity For Federated Learning with Adaptive Client Sampling, by Bing Luo et al.
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Samplingby Bing Luo, Wenli…
Summary of A Proximal Algorithm For Sampling, by Jiaming Liang et al.
A Proximal Algorithm for Samplingby Jiaming Liang, Yongxin ChenFirst submitted to arxiv on: 28 Feb…
Summary of The Self-optimal-transport Feature Transform, by Daniel Shalam and Simon Korman
The Self-Optimal-Transport Feature Transformby Daniel Shalam, Simon KormanFirst submitted to arxiv on: 6 Apr 2022CategoriesMain:…
Summary of Adaptive Fairness-aware Online Meta-learning For Changing Environments, by Chen Zhao et al.
Adaptive Fairness-Aware Online Meta-Learning for Changing Environmentsby Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang,…
Summary of Counterfactual Analysis in Dynamic Latent State Models, by Martin Haugh and Raghav Singal
Counterfactual Analysis in Dynamic Latent State Modelsby Martin Haugh, Raghav SingalFirst submitted to arxiv on:…