A Minimax Approach to Supervised Learning

7 June 2016

Papers citing "A Minimax Approach to Supervised Learning"

23 / 23 papers shown

Title
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 66 20 0 31 Dec 2024
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck Hongru Li Jiawei Shao Hengtao He Shenghui Song Jun Zhang Khaled B. Letaief OOD 48 5 0 15 May 2024
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting Tengfei Huang T. Dahanayaka Kanchana Thilakarathna Philip H. W. Leong H. El Gamal 24 2 0 28 Mar 2023
Minimax optimal high-dimensional classification using deep neural networks Shuoyang Wang Zuofeng Shang 38 3 0 04 Mar 2023
An information-theoretic learning model based on importance sampling Jiangshe Zhang Lizhen Ji Fei Gao Meng-Qian Li 37 0 0 09 Feb 2023
Greedy Modality Selection via Approximate Submodular Maximization Runxiang Cheng Gargi Balasubramaniam Yifei He Yao-Hung Hubert Tsai Han Zhao 32 1 0 22 Oct 2022
How Does Data Freshness Affect Real-time Supervised Learning? Md Kamran Chowdhury Shisher Yin Sun OOD 20 19 0 15 Aug 2022
Conditional Supervised Contrastive Learning for Fair Text Classification Jianfeng Chi Will Shand Yaodong Yu Kai-Wei Chang Han Zhao Yuan Tian FaML 54 14 0 23 May 2022
Deep Neural Network Classifier for Multi-dimensional Functional Data Shuoyang Wang Guanqun Cao Zuofeng Shang 36 12 0 17 May 2022
Minimax risk classifiers with 0-1 loss Santiago Mazuelas Mauricio Romero Peter Grünwald 39 6 0 17 Jan 2022
Minimax Optimization: The Case of Convex-Submodular Arman Adibi Aryan Mokhtari Hamed Hassani 21 7 0 01 Nov 2021
Invariant Information Bottleneck for Domain Generalization Yue Liu Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 37 107 0 11 Jun 2021
The Age of Correlated Features in Supervised Learning based Forecasting Md Kamran Chowdhury Shisher Heyang Qin Lei Yang Feng Yan Yin Sun OOD 21 23 0 27 Feb 2021
Minimum Excess Risk in Bayesian Learning Aolin Xu Maxim Raginsky 43 38 0 29 Dec 2020
Minimax Classification with 0-1 Loss and Performance Guarantees Santiago Mazuelas Andrea Zanoni Aritz Pérez Martínez 16 12 0 15 Oct 2020
Learning Optimal Representations with the Decodable Information Bottleneck Yann Dubois Douwe Kiela D. Schwab Ramakrishna Vedantam 38 43 0 27 Sep 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 24 6 0 22 Jul 2020
Distributionally Robust Weighted $k$ -Nearest Neighbors Shixiang Zhu Liyan Xie Minghe Zhang Rui Gao Yao Xie OOD 21 7 0 07 Jun 2020
Calibrated Surrogate Losses for Adversarially Robust Classification Han Bao Clayton Scott Masashi Sugiyama 34 45 0 28 May 2020
Distributionally Robust Optimization: A Review Hamed Rahimian Sanjay Mehrotra 19 118 0 13 Aug 2019
General Supervision via Probabilistic Transformations Santiago Mazuelas Aritz Pérez Martínez OOD 27 5 0 24 Jan 2019
Theoretical Analysis of Adversarial Learning: A Minimax Approach Zhuozhuo Tu Jingwei Zhang Dacheng Tao AAML 21 68 0 13 Nov 2018
Regularization via Mass Transportation Soroosh Shafieezadeh-Abadeh Daniel Kuhn Peyman Mohajerin Esfahani OOD 41 203 0 27 Oct 2017