Summary of Large Margin Discriminative Loss For Classification, by Hai-vy Nguyen et al.
Large Margin Discriminative Loss for Classificationby Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda Chhaibi, Serge…
Summary of Cost-sensitive Multi-fidelity Bayesian Optimization with Transfer Of Learning Curve Extrapolation, by Dong Bok Lee et al.
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolationby Dong Bok Lee, Aoxuan Silvia…
Summary of Opera: Automatic Offline Policy Evaluation with Re-weighted Aggregates Of Multiple Estimators, by Allen Nie et al.
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimatorsby Allen Nie, Yash Chandak,…
Summary of Calibrated Dataset Condensation For Faster Hyperparameter Search, by Mucong Ding et al.
Calibrated Dataset Condensation for Faster Hyperparameter Searchby Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu,…
Summary of Hamiltonian Mechanics Of Feature Learning: Bottleneck Structure in Leaky Resnets, by Arthur Jacot et al.
Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNetsby Arthur Jacot, Alexandre KaiserFirst submitted…
Summary of Comparative Study Of Machine Learning Algorithms in Detecting Cardiovascular Diseases, by Dayana K et al.
Comparative Study of Machine Learning Algorithms in Detecting Cardiovascular Diseasesby Dayana K, S. Nandini, Sanjjushri…
Summary of Fast Trac: a Parameter-free Optimizer For Lifelong Reinforcement Learning, by Aneesh Muppidi et al.
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learningby Aneesh Muppidi, Zhiyu Zhang, Heng YangFirst…
Summary of Learning Accurate and Interpretable Decision Trees, by Maria-florina Balcan and Dravyansh Sharma
Learning accurate and interpretable decision treesby Maria-Florina Balcan, Dravyansh SharmaFirst submitted to arxiv on: 24…
Summary of Sparse Maximal Update Parameterization: a Holistic Approach to Sparse Training Dynamics, by Nolan Dey and Shane Bergsma and Joel Hestness
Sparse maximal update parameterization: A holistic approach to sparse training dynamicsby Nolan Dey, Shane Bergsma,…
Summary of Reshuffling Resampling Splits Can Improve Generalization Of Hyperparameter Optimization, by Thomas Nagler et al.
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimizationby Thomas Nagler, Lennart Schneider, Bernd Bischl,…