Tilted Empirical Risk Minimization

2 July 2020

Papers citing "Tilted Empirical Risk Minimization"

28 / 28 papers shown

Title
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 80 1 0 23 Jun 2024
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors Victoria Graf Qin Liu Muhao Chen AAML 40 8 0 02 Apr 2024
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 34 6 0 15 Jun 2023
Fair yet Asymptotically Equal Collaborative Learning Xiaoqiang Lin Xinyi Xu See-Kiong Ng Chuan-Sheng Foo Bryan Kian Hsiang Low FedML 16 7 0 09 Jun 2023
Revisiting adversarial training for the worst-performing class Thomas Pethick Grigorios G. Chrysos V. Cevher 29 6 0 17 Feb 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 33 9 0 29 Jan 2023
Robust variance-regularized risk minimization with concomitant scaling Matthew J. Holland 31 1 0 27 Jan 2023
Stochastic Optimization for Spectral Risk Measures Ronak R. Mehta Vincent Roulet Krishna Pillutla Lang Liu Zaïd Harchaoui 34 6 0 10 Dec 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
Stochastic Constrained DRO with a Complexity Independent of Sample Size Q. Qi Jiameng Lyu Kung-Sik Chan E. Bai Tianbao Yang 50 15 0 11 Oct 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 40 32 0 18 Jul 2022
Supervised Learning with General Risk Functionals Liu Leqi Audrey Huang Zachary Chase Lipton Kamyar Azizzadenesheli 25 5 0 27 Jun 2022
Diagnostic Tool for Out-of-Sample Model Evaluation Ludvig Hult Dave Zachariah Petre Stoica 14 1 0 22 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 35 6 0 05 Jun 2022
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection Shaoshen Wang Yanbin Liu Ling Chen Chengqi Zhang 24 0 0 29 May 2022
Flexible risk design using bi-directional dispersion Matthew J. Holland 38 6 0 28 Mar 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization Wei Jiang Bokun Wang Yibo Wang Lijun Zhang Tianbao Yang 81 17 0 15 Feb 2022
Survey of Hallucination in Natural Language Generation Ziwei Ji Nayeon Lee Rita Frieske Tiezheng Yu D. Su ... Delong Chen Wenliang Dai Ho Shu Chan Andrea Madotto Pascale Fung HILM LRM 79 2,254 0 08 Feb 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning J. Ahn Yeeun Ma Seoyun Park Cheolwoo You FedML 45 22 0 01 Feb 2022
BARACK: Partially Supervised Group Robustness With Guarantees N. Sohoni Maziar Sanjabi Nicolas Ballas Aditya Grover Shaoliang Nie Hamed Firooz Christopher Ré OOD 20 24 0 31 Dec 2021
A Survey of Learning Criteria Going Beyond the Usual Risk Matthew J. Holland Kazuki Tanabe FaML 24 4 0 11 Oct 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 29 37 0 05 Aug 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
The Curious Case of Hallucinations in Neural Machine Translation Vikas Raunak Arul Menezes Marcin Junczys-Dowmunt 44 190 0 14 Apr 2021
Optimal Client Sampling for Federated Learning Wenlin Chen Samuel Horváth Peter Richtárik FedML 42 192 0 26 Oct 2020
An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives Qi Qi Zhishuai Guo Yi Tian Xu Rong Jin Tianbao Yang 33 44 0 17 Jun 2020
Learning Bounds for Risk-sensitive Learning Jaeho Lee Sejun Park Jinwoo Shin 25 46 0 15 Jun 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 139 1,204 0 16 Aug 2016