Summary of Resampling Methods For Private Statistical Inference, by Karan Chadha et al.
Resampling methods for private statistical inferenceby Karan Chadha, John Duchi, Rohith KuditipudiFirst submitted to arxiv…
Summary of Implicit Bias and Fast Convergence Rates For Self-attention, by Bhavya Vasudeva et al.
Implicit Bias and Fast Convergence Rates for Self-attentionby Bhavya Vasudeva, Puneesh Deora, Christos ThrampoulidisFirst submitted…
Summary of Classifying Spam Emails Using Agglomerative Hierarchical Clustering and a Topic-based Approach, by F. Janez-martino et al.
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approachby F. Janez-Martino, R. Alaiz-Rodriguez,…
Summary of Online Cascade Learning For Efficient Inference Over Streams, by Lunyiu Nie et al.
Online Cascade Learning for Efficient Inference over Streamsby Lunyiu Nie, Zhimin Ding, Erdong Hu, Christopher…
Summary of An Experiment on Feature Selection Using Logistic Regression, by Raisa Islam et al.
An Experiment on Feature Selection using Logistic Regressionby Raisa Islam, Subhasish Mazumdar, Rakibul IslamFirst submitted…
Summary of Distributed Markov Chain Monte Carlo Sampling Based on the Alternating Direction Method Of Multipliers, by Alexandros E. Tzikas et al.
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliersby Alexandros…
Summary of Prevalidated Ridge Regression Is a Highly-efficient Drop-in Replacement For Logistic Regression For High-dimensional Data, by Angus Dempster et al.
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional databy Angus…
Summary of Machine Learning-based Malicious Vehicle Detection For Security Threats and Attacks in Vehicle Ad-hoc Network (vanet) Communications, by Thanh Nguyen Canh and Xiem Hoangvan
Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET)…
Summary of Reliability and Interpretability in Science and Deep Learning, by Luigi Scorzato
Reliability and Interpretability in Science and Deep Learningby Luigi ScorzatoFirst submitted to arxiv on: 14…
Summary of Temporal Analysis Of World Disaster Risk:a Machine Learning Approach to Cluster Dynamics, by Christian Mulomba Mukendi et al.
Temporal Analysis of World Disaster Risk:A Machine Learning Approach to Cluster Dynamicsby Christian Mulomba Mukendi,…