'Classification Under Local Differential Privacy with Model Reversal and Model Averaging', by Caihong Qin, Yang Bai.
#privacy#classifiers#classification
'Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing', by Xianli Zeng, Kevin Jiang, Guang Cheng, Edgar Dobriban.
#classifiers#fairness#classifier
'Demographic Parity in Regression and Classification Within the Unawareness Framework', by Vincent Divol, Solenne Gaucher.
#classifiers#classification#optimal
'Random Feature Amplification: Feature Learning and Generalization in Neural Networks', by Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett.
#classifiers#neurons#relu
'Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data', by Thomas Chen, Patrícia Muñoz Ewald.
#classifiers#minimizers#classes
Can Kernel Methods Explain How the Data Affects Neural Collapse?
Vignesh Kothapalli, Tom Tirer.
Action editor: Marco Mondelli.
#classifiers#kernels#kernel
For example, an instrumental classifier can be used to communicate the different ways that medicine may betaken or applied. #ASL#classifiers#linguistics#signingsavvy
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari.
Action editor: ERIC EATON.
#classification#classifiers#classifier
Hyperbolic Random Forests
Lars Doorenbos, Pablo Márquez Neila, Raphael Sznitman, Pascal Mettes.
Action editor: Novi Quadrianto.
#classifiers#classification#classifier
'Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation', by Stanislav Minsker, Mohamed Ndaoud, Yiqiu Shen.
#classifiers#classifier#classification
'Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes', by Su Jia, Fatemeh Navidi, Viswanath Nagarajan, R. Ravi.
#classifiers#deterministic#optimal