Summary of Boosting Fairness and Robustness in Over-the-air Federated Learning, by Halil Yigit Oksuz et al.
Boosting Fairness and Robustness in Over-the-Air Federated Learningby Halil Yigit Oksuz, Fabio Molinari, Henning Sprekeler,…
Summary of Cooperative Bayesian Optimization For Imperfect Agents, by Ali Khoshvishkaie et al.
Cooperative Bayesian Optimization for Imperfect Agentsby Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel KaskiFirst submitted…
Summary of Hyperparameter Tuning Mlps For Probabilistic Time Series Forecasting, by Kiran Madhusudhanan et al.
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecastingby Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-ThiemeFirst submitted…
Summary of Efficient Off-policy Learning For High-dimensional Action Spaces, by Fabian Otto et al.
Efficient Off-Policy Learning for High-Dimensional Action Spacesby Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard…
Summary of Automated Multi-task Learning For Joint Disease Prediction on Electronic Health Records, by Suhan Cui and Prasenjit Mitra
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Recordsby Suhan Cui, Prasenjit MitraFirst…
Summary of Directional Smoothness and Gradient Methods: Convergence and Adaptivity, by Aaron Mishkin et al.
Directional Smoothness and Gradient Methods: Convergence and Adaptivityby Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron…
Summary of Grawa: Gradient-based Weighted Averaging For Distributed Training Of Deep Learning Models, by Tolga Dimlioglu et al.
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Modelsby Tolga Dimlioglu, Anna ChoromanskaFirst…
Summary of Acceleratedlingam: Learning Causal Dags at the Speed Of Gpus, by Victor Akinwande et al.
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUsby Victor Akinwande, J. Zico KolterFirst submitted…
Summary of Targeted Variance Reduction: Robust Bayesian Optimization Of Black-box Simulators with Noise Parameters, by John Joshua Miller et al.
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parametersby John Joshua Miller,…
Summary of Public-data Assisted Private Stochastic Optimization: Power and Limitations, by Enayat Ullah et al.
Public-data Assisted Private Stochastic Optimization: Power and Limitationsby Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal…