Summary of Effective Confidence Region Prediction Using Probability Forecasters, by David Lindsay et al.
Effective Confidence Region Prediction Using Probability Forecastersby David Lindsay, Sian LindsayFirst submitted to arxiv on:…
Summary of Harnessing Increased Client Participation with Cohort-parallel Federated Learning, by Akash Dhasade et al.
Harnessing Increased Client Participation with Cohort-Parallel Federated Learningby Akash Dhasade, Anne-Marie Kermarrec, Tuan-Anh Nguyen, Rafael…
Summary of The Road Less Scheduled, by Aaron Defazio et al.
The Road Less Scheduledby Aaron Defazio, Xingyu Alice Yang, Harsh Mehta, Konstantin Mishchenko, Ahmed Khaled,…
Summary of Information-theoretic Generalization Analysis For Expected Calibration Error, by Futoshi Futami et al.
Information-theoretic Generalization Analysis for Expected Calibration Errorby Futoshi Futami, Masahiro FujisawaFirst submitted to arxiv on:…
Summary of Microadam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence, by Ionut-vlad Modoranu et al.
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergenceby Ionut-Vlad Modoranu, Mher Safaryan,…
Summary of Model-free Reinforcement Learning with Noisy Actions For Automated Experimental Control in Optics, by Lea Richtmann et al.
Model-free reinforcement learning with noisy actions for automated experimental control in opticsby Lea Richtmann, Viktoria-S.…
Summary of Comparing Remote Sensing-based Forest Biomass Mapping Approaches Using New Forest Inventory Plots in Contrasting Forests in Northeastern and Southwestern China, by Wenquan Dong et al.
Comparing remote sensing-based forest biomass mapping approaches using new forest inventory plots in contrasting forests…
Summary of Fairness-accuracy Trade-offs: a Causal Perspective, by Drago Plecko et al.
Fairness-Accuracy Trade-Offs: A Causal Perspectiveby Drago Plecko, Elias BareinboimFirst submitted to arxiv on: 24 May…
Summary of Fedcal: Achieving Local and Global Calibration in Federated Learning Via Aggregated Parameterized Scaler, by Hongyi Peng et al.
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scalerby Hongyi Peng,…
Summary of Unlearning During Learning: An Efficient Federated Machine Unlearning Method, by Hanlin Gu et al.
Unlearning during Learning: An Efficient Federated Machine Unlearning Methodby Hanlin Gu, Gongxi Zhu, Jie Zhang,…