Summary of Oracle-efficient Differentially Private Learning with Public Data, by Adam Block et al.
Oracle-Efficient Differentially Private Learning with Public Databy Adam Block, Mark Bun, Rathin Desai, Abhishek Shetty,…
Summary of The Manifold Density Function: An Intrinsic Method For the Validation Of Manifold Learning, by Benjamin Holmgren et al.
The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learningby Benjamin Holmgren,…
Summary of Pmgda: a Preference-based Multiple Gradient Descent Algorithm, by Xiaoyuan Zhang and Xi Lin and Qingfu Zhang
PMGDA: A Preference-based Multiple Gradient Descent Algorithmby Xiaoyuan Zhang, Xi Lin, Qingfu ZhangFirst submitted to…
Summary of Distribution-free Rates in Neyman-pearson Classification, by Mohammadreza M. Kalan et al.
Distribution-Free Rates in Neyman-Pearson Classificationby Mohammadreza M. Kalan, Samory KpotufeFirst submitted to arxiv on: 14…
Summary of Pulmonologists-level Lung Cancer Detection Based on Standard Blood Test Results and Smoking Status Using An Explainable Machine Learning Approach, by Ricco Noel Hansen Flyckt et al.
Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an…
Summary of Ecoval: An Efficient Data Valuation Framework For Machine Learning, by Ayush K Tarun et al.
EcoVal: An Efficient Data Valuation Framework for Machine Learningby Ayush K Tarun, Vikram S Chundawat,…
Summary of Information Complexity Of Stochastic Convex Optimization: Applications to Generalization and Memorization, by Idan Attias et al.
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorizationby Idan Attias, Gintare Karolina…
Summary of Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production, by Patrick Oliver Schenk and Christoph Kern
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Productionby…
Summary of Optimistic Thompson Sampling For No-regret Learning in Unknown Games, by Yingru Li et al.
Optimistic Thompson Sampling for No-Regret Learning in Unknown Gamesby Yingru Li, Liangqi Liu, Wenqiang Pu,…
Summary of Fourier Circuits in Neural Networks and Transformers: a Case Study Of Modular Arithmetic with Multiple Inputs, by Chenyang Li et al.
Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple…