Summary of Randomized Algorithms For Symmetric Nonnegative Matrix Factorization, by Koby Hayashi et al.
Randomized Algorithms for Symmetric Nonnegative Matrix Factorizationby Koby Hayashi, Sinan G. Aksoy, Grey Ballard, Haesun…
Summary of Implicit Bias Of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States, by Noam Razin et al.
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial Statesby Noam…
Summary of Predictive Churn with the Set Of Good Models, by Jamelle Watson-daniels et al.
Predictive Churn with the Set of Good Modelsby Jamelle Watson-Daniels, Flavio du Pin Calmon, Alexander…
Summary of Hypo: Hyperspherical Out-of-distribution Generalization, by Haoyue Bai et al.
HYPO: Hyperspherical Out-of-Distribution Generalizationby Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan LiFirst submitted to arxiv…
Summary of Bandit-feedback Online Multiclass Classification: Variants and Tradeoffs, by Yuval Filmus et al.
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffsby Yuval Filmus, Steve Hanneke, Idan Mehalel, Shay MoranFirst…
Summary of Topological Safeguard For Evasion Attack Interpreting the Neural Networks’ Behavior, by Xabier Echeberria-barrio et al.
Topological safeguard for evasion attack interpreting the neural networks’ behaviorby Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Iñigo…
Summary of Power Transformer Fault Prediction Based on Knowledge Graphs, by Chao Wang et al.
Power Transformer Fault Prediction Based on Knowledge Graphsby Chao Wang, Zhuo Chen, Ziyan Zhang, Chiyi…
Summary of Self-calibrating Conformal Prediction, by Lars Van Der Laan and Ahmed M. Alaa
Self-Calibrating Conformal Predictionby Lars van der Laan, Ahmed M. AlaaFirst submitted to arxiv on: 11…
Summary of A Novel Gaussian Min-max Theorem and Its Applications, by Danil Akhtiamov et al.
A Novel Gaussian Min-Max Theorem and its Applicationsby Danil Akhtiamov, David Bosch, Reza Ghane, K…
Summary of Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing, by Wei Xu et al.
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passingby Wei Xu, An…