Summary of Deep Random Features For Scalable Interpolation Of Spatiotemporal Data, by Weibin Chen et al.
Deep Random Features for Scalable Interpolation of Spatiotemporal Databy Weibin Chen, Azhir Mahmood, Michel Tsamados,…
Summary of Psmgd: Periodic Stochastic Multi-gradient Descent For Fast Multi-objective Optimization, by Mingjing Xu et al.
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimizationby Mingjing Xu, Peizhong Ju, Jia Liu,…
Summary of The Utility and Complexity Of In- and Out-of-distribution Machine Unlearning, by Youssef Allouah et al.
The Utility and Complexity of in- and out-of-Distribution Machine Unlearningby Youssef Allouah, Joshua Kazdan, Rachid…
Summary of From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes, by Alexander Tyurin
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizesby Alexander…
Summary of Distributed Gradient Descent with Many Local Steps in Overparameterized Models, by Heng Zhu et al.
Distributed Gradient Descent with Many Local Steps in Overparameterized Modelsby Heng Zhu, Harsh Vardhan, Arya…
Summary of Adaptive Epsilon Adversarial Training For Robust Gravitational Wave Parameter Estimation Using Normalizing Flows, by Yiqian Yang et al.
Adaptive Epsilon Adversarial Training for Robust Gravitational Wave Parameter Estimation Using Normalizing Flowsby Yiqian Yang,…
Summary of Reconstructing Deep Neural Networks: Unleashing the Optimization Potential Of Natural Gradient Descent, by Weihua Liu et al.
Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descentby Weihua Liu, Said…
Summary of Ahsg: Adversarial Attacks on High-level Semantics in Graph Neural Networks, by Kai Yuan et al.
AHSG: Adversarial Attacks on High-level Semantics in Graph Neural Networksby Kai Yuan, Xiaobing Pei, Haoran…
Summary of Tube Loss: a Novel Approach For Prediction Interval Estimation and Probabilistic Forecasting, by Pritam Anand et al.
Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecastingby Pritam Anand, Tathagata…
Summary of Conservative Contextual Bandits: Beyond Linear Representations, by Rohan Deb et al.
Conservative Contextual Bandits: Beyond Linear Representationsby Rohan Deb, Mohammad Ghavamzadeh, Arindam BanerjeeFirst submitted to arxiv…