Adaptive Online Learning in Dynamic Environments

25 October 2018

Papers citing "Adaptive Online Learning in Dynamic Environments"

46 / 46 papers shown

Title
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach Dheeraj Baby Boran Han Shuai Zhang Cuixiong Hu Yuyang Wang Yu-Xiang Wang OOD 50 0 0 09 Apr 2025
VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms Seungwon Lim Sungwoong Kim Jihwan Yu Sungjae Lee Jiwan Chung Youngjae Yu 69 1 0 18 Mar 2025
A Survey of Controllable Learning: Methods and Applications in Information Retrieval Chenglei Shen Xiao Zhang Teng Shi Changshuo Zhang Guofu Xie Jun Xu 63 5 0 03 Jan 2025
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint Juncheng Wang Bingjie Yan Yituo Liu 70 0 0 14 Dec 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously Stephen Pasteris Chris Hicks V. Mavroudis Mark Herbster 18 1 0 31 May 2024
Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen Ashok Cutkosky 38 5 0 29 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 36 2 0 18 May 2024
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization M. Pedramfar Vaneet Aggarwal 18 3 0 27 Apr 2024
A Stability Principle for Learning under Non-Stationarity Chengpiao Huang Kaizheng Wang 29 2 0 27 Oct 2023
Efficient Methods for Non-stationary Online Learning Peng Zhao Yan-Feng Xie Lijun Zhang Zhi-Hua Zhou 44 19 0 16 Sep 2023
Non-stationary Online Convex Optimization with Arbitrary Delays Yuanyu Wan Chang Yao Min-Gyoo Song Lijun Zhang 40 3 0 20 May 2023
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees Yibo Wang Wenhao Yang Wei Jiang Shiyin Lu Bing Wang Haihong Tang Yuanyu Wan Lijun Zhang 17 6 0 19 May 2023
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems Ting-Jui Chang Sapana Chaudhary D. Kalathil Shahin Shahrampour 21 5 0 23 Feb 2023
Improved Dynamic Regret for Online Frank-Wolfe Yuanyu Wan Lijun Zhang Mingli Song 13 11 0 11 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding Zhiyu Zhang Ashok Cutkosky I. Paschalidis 21 7 0 31 Jan 2023
On Dynamic Regret and Constraint Violations in Constrained Online Convex Optimization R. Vaze 11 4 0 24 Jan 2023
Optimistically Tempered Online Learning Maxime Haddouche Olivier Wintenberger Benjamin Guedj OnRL 15 1 0 18 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 24 1 0 17 Jan 2023
Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control Hongyu Zhou Zirui Xu Vasileios Tzoumas 69 13 0 02 Jan 2023
Dynamic Regret of Online Markov Decision Processes Peng Zhao Longfei Li Zhi-Hua Zhou OffRL 22 17 0 26 Aug 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 44 10 0 06 Jul 2022
Adapting to Online Label Shift with Provable Guarantees Yong Bai Yu-Jie Zhang Peng Zhao Masashi Sugiyama Zhi-Hua Zhou OOD 19 25 0 05 Jul 2022
Optimal Dynamic Regret in LQR Control Dheeraj Baby Yu-Xiang Wang 24 16 0 18 Jun 2022
Open-environment Machine Learning Zhi-Hua Zhou VLM 32 133 0 01 Jun 2022
Adaptive Online Learning of Quantum States Xinyi Chen Elad Hazan Tongyang Li Zhou Lu Xinzhao Wang Rui Yang 16 13 0 01 Jun 2022
Adaptive Gradient Methods with Local Guarantees Zhou Lu Wenhan Xia Sanjeev Arora Elad Hazan ODL 17 9 0 02 Mar 2022
Parameter-free Mirror Descent Andrew Jacobsen Ashok Cutkosky 12 32 0 26 Feb 2022
Understanding AdamW through Proximal Methods and Scale-Freeness Zhenxun Zhuang Mingrui Liu Ashok Cutkosky Francesco Orabona 37 63 0 31 Jan 2022
No-Regret Learning in Time-Varying Zero-Sum Games Mengxiao Zhang Peng Zhao Haipeng Luo Zhi-Hua Zhou 33 38 0 30 Jan 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond Dheeraj Baby Yu-Xiang Wang 29 25 0 21 Jan 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Zhiqiang Zhang Jun Zhou Chaochao Chen FedML 28 10 0 28 Dec 2021
Gradient and Projection Free Distributed Online Min-Max Resource Optimization Jingrong Wang Ben Liang 18 3 0 07 Dec 2021
Online Graph Learning in Dynamic Environments Xiang Zhang 30 3 0 11 Oct 2021
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints Xinlei Yi Xiuxian Li Tao Yang Lihua Xie Tianyou Chai Karl H. Johansson 14 45 0 09 Jun 2021
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization Xinlei Yi Xiuxian Li Tao Yang Lihua Xie Tianyou Chai Karl H. Johansson 11 38 0 01 May 2021
Online Strongly Convex Optimization with Unknown Delays Yuanyu Wan Wei-Wei Tu Lijun Zhang 20 17 0 21 Mar 2021
A Simple Approach for Non-stationary Linear Bandits Peng Zhao Lijun Zhang Yuan Jiang Zhi-Hua Zhou 23 81 0 09 Mar 2021
Non-stationary Online Learning with Memory and Non-stochastic Control Peng Zhao Yu-Hu Yan Yu-Xiang Wang Zhi-Hua Zhou 33 47 0 07 Feb 2021
Adaptive Online Estimation of Piecewise Polynomial Trends Dheeraj Baby Yu-Xiang Wang 22 12 0 30 Sep 2020
Dynamic Regret of Convex and Smooth Functions Peng Zhao Yu-Jie Zhang Lijun Zhang Zhi-Hua Zhou 16 100 0 07 Jul 2020
Gradient-Variation Bound for Online Convex Optimization with Constraints Shuang Qiu Xiaohan Wei Mladen Kolar 33 1 0 22 Jun 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming Mehrdad Khani Shirkoohi Pouya Hamadanian Arash Nasr-Esfahany Mohammad Alizadeh 21 45 0 11 Jun 2020
The Adversarial Robustness of Sampling Omri Ben-Eliezer E. Yogev TTA AAML 23 45 0 26 Jun 2019
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions Lijun Zhang G. Wang Wei-Wei Tu Zhi-Hua Zhou ODL 15 18 0 26 Jun 2019
Adaptive Regret of Convex and Smooth Functions Lijun Zhang Tie-Yan Liu Zhi-Hua Zhou ODL 21 45 0 26 Apr 2019
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend Wendi Wu Zongren Li Yawei Zhao Chenkai Yu P. Zhao Ji Liu FedML 11 16 0 29 Jan 2019