Learning from Aggregate responses: Instance Level versus Bag Level Loss
Functions

Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions

20 January 2024

Vahab Mirrokni

Ashwinkumar Badanidiyuru

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Papers citing "Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions"

17 / 17 papers shown

Title
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses Adel Javanmard Matthew Fahrbach Vahab Mirrokni 56 3 0 07 Feb 2024
Learning from Aggregated Data: Curated Bags versus Random Bags Lin Chen Gang Fu Amin Karbasi Vahab Mirrokni FedML 60 10 0 16 May 2023
Easy Learning from Label Proportions R. Busa-Fekete Heejin Choi Travis Dick Claudio Gentile Andrés Munoz Medina 43 14 0 06 Feb 2023
The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression Hamed Hassani Adel Javanmard AAML 35 37 0 13 Jan 2022
An Overview of Privacy in Machine Learning Emiliano De Cristofaro SILM 65 86 0 18 May 2020
Learning from Aggregate Observations Yivan Zhang Nontawat Charoenphakdee Zheng Wu Masashi Sugiyama 65 28 0 14 Apr 2020
On the Complexity of Learning from Label Proportions Benjamin Fish L. Reyzin 28 16 0 07 Apr 2020
Precise Tradeoffs in Adversarial Training for Linear Regression Adel Javanmard Mahdi Soltanolkotabi Hamed Hassani AAML 58 109 0 24 Feb 2020
The generalization error of random features regression: Precise asymptotics and double descent curve Song Mei Andrea Montanari 101 639 0 14 Aug 2019
Learning Neural Networks with Adaptive Regularization Han Zhao Yao-Hung Hubert Tsai Ruslan Salakhutdinov Geoffrey J. Gordon 32 15 0 14 Jul 2019
Deep multi-class learning from label proportions Gabriel Dulac-Arnold Neil Zeghidour Marco Cuturi Lucas Beyer Jean-Philippe Vert 54 50 0 30 May 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 201 746 0 19 Mar 2019
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 73 87 0 31 Aug 2018
Privacy Preserving Machine Learning: Threats and Solutions Mohammad Al-Rubaie Jerome Chang 60 337 0 27 Mar 2018
Co-training for Demographic Classification Using Deep Learning from Label Proportions Ehsan Mohammady Ardehaly A. Culotta VLM 42 61 0 13 Sep 2017
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 89 474 0 11 Nov 2016
On Learning from Label Proportions Felix X. Yu Krzysztof Choromanski Sanjiv Kumar Tony Jebara Shih-Fu Chang 88 84 0 24 Feb 2014